{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/image-enhancement/papers/5","list_of":"/task/image-enhancement","task":"Image Enhancement","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":5,"pages_in_order":10,"rows_per_page":100,"rows":[401,500],"of":983,"counts":{"archive_papers_tagged":983,"with_a_code_link":445,"where_syntology_ran_a_sample":71,"not_listed_spam_title":0,"listed":983,"listed_where_code_ran":71,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":62,"every_run_a_failure_of_syntologys_instrument":9,"listed_with_a_run_with_no_instrument_failure":62,"listed_every_run_a_failure_of_syntologys_instrument":9,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/image-enhancement","prev":"/task/image-enhancement/papers/4","next":"/task/image-enhancement/papers/6","papers":[{"url":"/paper/low-light-maritime-image-enhancement-with","slug":"low-light-maritime-image-enhancement-with","title":"Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise Suppression","date":"2020-08-09","arxiv_id":"2008.03765","repositories_listed":1,"syntology":null},{"url":"/paper/pienet-personalized-image-enhancement-network","slug":"pienet-personalized-image-enhancement-network","title":"PieNet: Personalized Image Enhancement Network","date":"2020-08-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/recurrent-exposure-generation-for-low-light","slug":"recurrent-exposure-generation-for-low-light","title":"Recurrent Exposure Generation for Low-Light Face Detection","date":"2020-07-21","arxiv_id":"2007.10963","repositories_listed":1,"syntology":null},{"url":"/paper/urie-universal-image-enhancement-for-visual","slug":"urie-universal-image-enhancement-for-visual","title":"URIE: Universal Image Enhancement for Visual Recognition in the Wild","date":"2020-07-17","arxiv_id":"2007.08979","repositories_listed":1,"syntology":null},{"url":"/paper/early-exit-or-not-resource-efficient-blind","slug":"early-exit-or-not-resource-efficient-blind","title":"Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images","date":"2020-06-30","arxiv_id":"2006.16581","repositories_listed":1,"syntology":null},{"url":"/paper/burst-photography-for-learning-to-enhance","slug":"burst-photography-for-learning-to-enhance","title":"Burst Photography for Learning to Enhance Extremely Dark Images","date":"2020-06-17","arxiv_id":"2006.09845","repositories_listed":1,"syntology":null},{"url":"/paper/perceiving-unknown-in-dark-from-perspective","slug":"perceiving-unknown-in-dark-from-perspective","title":"Low-light Image Enhancement Using the Cell Vibration Model","date":"2020-06-03","arxiv_id":"2006.02271","repositories_listed":1,"syntology":null},{"url":"/paper/understanding-and-correcting-low-quality","slug":"understanding-and-correcting-low-quality","title":"Modeling and Enhancing Low-quality Retinal Fundus Images","date":"2020-05-12","arxiv_id":"2005.05594","repositories_listed":1,"syntology":null},{"url":"/paper/learning-an-adaptive-model-for-extreme-low","slug":"learning-an-adaptive-model-for-extreme-low","title":"Learning an Adaptive Model for Extreme Low-light Raw Image Processing","date":"2020-04-22","arxiv_id":"2004.10447","repositories_listed":1,"syntology":null},{"url":"/paper/harmony-search-and-otsu-based-system-for","slug":"harmony-search-and-otsu-based-system-for","title":"Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images","date":"2020-04-06","arxiv_id":"2004.03431","repositories_listed":1,"syntology":null},{"url":"/paper/image-demoireing-with-learnable-bandpass","slug":"image-demoireing-with-learnable-bandpass","title":"Image Demoireing with Learnable Bandpass Filters","date":"2020-04-01","arxiv_id":"2004.00406","repositories_listed":1,"syntology":null},{"url":"/paper/polarized-reflection-removal-with-perfect","slug":"polarized-reflection-removal-with-perfect","title":"Polarized Reflection Removal with Perfect Alignment in the Wild","date":"2020-03-28","arxiv_id":"2003.12789","repositories_listed":1,"syntology":null},{"url":"/paper/pre-processing-image-using-brightening-clahe","slug":"pre-processing-image-using-brightening-clahe","title":"Pre-processing Image using Brightening, CLAHE and RETINEX","date":"2020-03-22","arxiv_id":"2003.10822","repositories_listed":1,"syntology":null},{"url":"/paper/burst-denoising-of-dark-images","slug":"burst-denoising-of-dark-images","title":"Burst Denoising of Dark Images","date":"2020-03-17","arxiv_id":"2003.07823","repositories_listed":1,"syntology":null},{"url":"/paper/a-cnn-based-blind-denoising-method-for-1","slug":"a-cnn-based-blind-denoising-method-for-1","title":"A CNN-Based Blind Denoising Method for Endoscopic Images","date":"2020-03-16","arxiv_id":"2003.06986","repositories_listed":1,"syntology":null},{"url":"/paper/self-supervised-image-enhancement-network","slug":"self-supervised-image-enhancement-network","title":"Self-supervised Image Enhancement Network: Training with Low Light Images Only","date":"2020-02-26","arxiv_id":"2002.11300","repositories_listed":1,"syntology":null},{"url":"/paper/a-differentiable-color-filter-for-generating","slug":"a-differentiable-color-filter-for-generating","title":"Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter","date":"2020-02-03","arxiv_id":"2002.01008","repositories_listed":1,"syntology":null},{"url":"/paper/-net-systematic-evaluation-of-iterative-deep","slug":"-net-systematic-evaluation-of-iterative-deep","title":"$Σ$-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction","date":"2019-12-18","arxiv_id":"1912.09278","repositories_listed":1,"syntology":{"n":9,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":8,"n_pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/-net-systematic-evaluation-of-iterative-deep#ran","syntology_url":"https://syntology.ai/paper/1912.09278","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1912.09278"}},"official":{"repos":["khammernik/sigmanet"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/mop-moire-patterns-using-mopnet","slug":"mop-moire-patterns-using-mopnet","title":"Mop Moire Patterns Using MopNet","date":"2019-10-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/unsharp-masking-layer-injecting-prior","slug":"unsharp-masking-layer-injecting-prior","title":"Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification","date":"2019-09-29","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/an-experimental-based-review-of-image","slug":"an-experimental-based-review-of-image","title":"An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging","date":"2019-07-07","arxiv_id":"1907.03246","repositories_listed":1,"syntology":null},{"url":"/paper/star-a-structure-and-texture-aware-retinex","slug":"star-a-structure-and-texture-aware-retinex","title":"STAR: A Structure and Texture Aware Retinex Model","date":"2019-06-16","arxiv_id":"1906.06690","repositories_listed":1,"syntology":null},{"url":"/paper/style-generator-inversion-for-image","slug":"style-generator-inversion-for-image","title":"Style Generator Inversion for Image Enhancement and Animation","date":"2019-06-05","arxiv_id":"1906.11880","repositories_listed":1,"syntology":null},{"url":"/paper/exemplar-based-underwater-image-enhancement","slug":"exemplar-based-underwater-image-enhancement","title":"Exemplar based underwater image enhancement augmented by Wavelet Corrected Transforms","date":"2019-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/all-in-one-underwater-image-enhancement-using","slug":"all-in-one-underwater-image-enhancement-using","title":"All-In-One Underwater Image Enhancement using Domain-Adversarial Learning","date":"2019-05-30","arxiv_id":"1905.13342","repositories_listed":1,"syntology":null},{"url":"/paper/dhsgan-an-end-to-end-dehazing-network-for-fog","slug":"dhsgan-an-end-to-end-dehazing-network-for-fog","title":"DHSGAN: An End to End Dehazing Network for Fog and Smoke","date":"2019-05-26","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/context-aware-automatic-occlusion-removal","slug":"context-aware-automatic-occlusion-removal","title":"Context-Aware Automatic Occlusion Removal","date":"2019-05-07","arxiv_id":"1905.02710","repositories_listed":1,"syntology":null},{"url":"/paper/real-world-underwater-enhancement-challenges","slug":"real-world-underwater-enhancement-challenges","title":"Real-world Underwater Enhancement: Challenges, Benchmarks, and Solutions","date":"2019-01-15","arxiv_id":"1901.05320","repositories_listed":1,"syntology":null},{"url":"/paper/an-underwater-image-enhancement-benchmark","slug":"an-underwater-image-enhancement-benchmark","title":"An Underwater Image Enhancement Benchmark Dataset and Beyond","date":"2019-01-11","arxiv_id":"1901.05495","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/an-underwater-image-enhancement-benchmark#ran","syntology_url":"https://syntology.ai/paper/1901.05495","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.05495"}},"official":null}},{"url":"/paper/image-super-resolution-as-a-defense-against","slug":"image-super-resolution-as-a-defense-against","title":"Image Super-Resolution as a Defense Against Adversarial Attacks","date":"2019-01-07","arxiv_id":"1901.01677","repositories_listed":1,"syntology":null},{"url":"/paper/fast-perceptual-image-enhancement","slug":"fast-perceptual-image-enhancement","title":"Fast Perceptual Image Enhancement","date":"2018-12-31","arxiv_id":"1812.11852","repositories_listed":1,"syntology":null},{"url":"/paper/underwater-single-image-color-restoration","slug":"underwater-single-image-color-restoration","title":"Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset","date":"2018-11-04","arxiv_id":"1811.01343","repositories_listed":1,"syntology":null},{"url":"/paper/learning-converged-propagations-with-deep","slug":"learning-converged-propagations-with-deep","title":"Learning Converged Propagations with Deep Prior Ensemble for Image Enhancement","date":"2018-10-09","arxiv_id":"1810.04012","repositories_listed":1,"syntology":null},{"url":"/paper/fast-and-efficient-image-quality-enhancement","slug":"fast-and-efficient-image-quality-enhancement","title":"Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks","date":"2018-09-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/stochastic-capsule-endoscopy-image","slug":"stochastic-capsule-endoscopy-image","title":"Stochastic Capsule Endoscopy Image Enhancement","date":"2018-06-06","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/deep-photo-enhancer-unpaired-learning-for","slug":"deep-photo-enhancer-unpaired-learning-for","title":"Deep Photo Enhancer: Unpaired Learning for Image Enhancement From Photographs With GANs","date":"2018-06-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/moire-photo-restoration-using-multiresolution","slug":"moire-photo-restoration-using-multiresolution","title":"Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks","date":"2018-05-08","arxiv_id":"1805.02996","repositories_listed":1,"syntology":null},{"url":"/paper/aesthetic-driven-image-enhancement-by","slug":"aesthetic-driven-image-enhancement-by","title":"Aesthetic-Driven Image Enhancement by Adversarial Learning","date":"2017-07-17","arxiv_id":"1707.05251","repositories_listed":1,"syntology":null},{"url":"/paper/anatomically-constrained-neural-networks-acnn","slug":"anatomically-constrained-neural-networks-acnn","title":"Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation","date":"2017-05-22","arxiv_id":"1705.08302","repositories_listed":1,"syntology":null},{"url":"/paper/deep-class-aware-denoising","slug":"deep-class-aware-denoising","title":"Deep Class Aware Denoising","date":"2017-01-06","arxiv_id":"1701.01698","repositories_listed":1,"syntology":null},{"url":"/paper/fast-and-effective-l0-gradient-minimization","slug":"fast-and-effective-l0-gradient-minimization","title":"Fast and Effective L0 Gradient Minimization by Region Fusion","date":"2015-12-01","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/color-image-enhancement-using-the-lrgb","slug":"color-image-enhancement-using-the-lrgb","title":"Color Image Enhancement Using the lrgb Coordinates in the Context of Support Fuzzification","date":"2015-02-16","arxiv_id":"1502.04499","repositories_listed":1,"syntology":null},{"url":"/paper/the-stone-transform-multi-resolution-image","slug":"the-stone-transform-multi-resolution-image","title":"The STONE Transform: Multi-Resolution Image Enhancement and Real-Time Compressive Video","date":"2013-11-14","arxiv_id":"1311.3405","repositories_listed":1,"syntology":null},{"url":"/paper/a-comprehensive-review-of-image-enhancement","slug":"a-comprehensive-review-of-image-enhancement","title":"A Comprehensive Review of Image Enhancement Techniques","date":"2010-03-22","arxiv_id":"1003.4053","repositories_listed":1,"syntology":null},{"url":"/paper/color-image-enhancement-using-the-support","slug":"color-image-enhancement-using-the-support","title":"Color Image Enhancement Using the Support Fuzzification in the Framework of the Logarithmic Model","date":"2003-06-24","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":null,"slug":"tdir-transformer-based-diffusion-for-image","title":"TDiR: Transformer based Diffusion for Image Restoration Tasks","date":"2025-06-25","arxiv_id":"2506.20302","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-scale-spatial-attention-based-zero","title":"A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement","date":"2025-06-23","arxiv_id":"2506.18323","repositories_listed":0,"syntology":null},{"url":null,"slug":"temperature-calibration-of-surface","title":"Temperature calibration of surface emissivities with an improved thermal image enhancement network","date":"2025-06-20","arxiv_id":"2506.16803","repositories_listed":0,"syntology":null},{"url":null,"slug":"dream-on-hallucinations-in-ai-generated","title":"DREAM: On hallucinations in AI-generated content for nuclear medicine imaging","date":"2025-06-16","arxiv_id":"2506.13995","repositories_listed":0,"syntology":null},{"url":null,"slug":"2506-04753","title":"Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement","date":"2025-06-05","arxiv_id":"2506.04753","repositories_listed":0,"syntology":null},{"url":null,"slug":"2506-04470","title":"A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement","date":"2025-06-04","arxiv_id":"2506.04470","repositories_listed":0,"syntology":null},{"url":null,"slug":"curve-clip-utilized-reinforcement-learning","title":"CURVE: CLIP-Utilized Reinforcement Learning for Visual Image Enhancement via Simple Image Processing","date":"2025-05-29","arxiv_id":"2505.23102","repositories_listed":0,"syntology":null},{"url":null,"slug":"underwater-diffusion-attention-network-with","title":"Underwater Diffusion Attention Network with Contrastive Language-Image Joint Learning for Underwater Image Enhancement","date":"2025-05-26","arxiv_id":"2505.19895","repositories_listed":0,"syntology":null},{"url":null,"slug":"2505-10589","title":"Super-Resolution Generative Adversarial Networks based Video Enhancement","date":"2025-05-14","arxiv_id":"2505.10589","repositories_listed":0,"syntology":null},{"url":null,"slug":"pde-gene-effect-inspired-parameter-dynamic","title":"PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement","date":"2025-05-14","arxiv_id":"2505.09196","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-advancements-in-low-light-image","title":"A review of advancements in low-light image enhancement using deep learning","date":"2025-05-09","arxiv_id":"2505.05759","repositories_listed":0,"syntology":null},{"url":null,"slug":"adnp-15-an-open-source-histopathological","title":"ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization","date":"2025-05-08","arxiv_id":"2505.05041","repositories_listed":0,"syntology":null},{"url":null,"slug":"hillie-human-in-the-loop-training-for-low","title":"HiLLIE: Human-in-the-Loop Training for Low-Light Image Enhancement","date":"2025-05-04","arxiv_id":"2505.02134","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-target-aware-representation","title":"Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement","date":"2025-05-03","arxiv_id":"2505.01831","repositories_listed":0,"syntology":null},{"url":null,"slug":"vr-fusenet-a-fusion-of-heterogeneous-fundus","title":"VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification","date":"2025-04-30","arxiv_id":"2504.21464","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepspg-exploring-deep-semantic-prior","title":"DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal Learning","date":"2025-04-27","arxiv_id":"2504.19127","repositories_listed":0,"syntology":null},{"url":null,"slug":"fusionnet-multi-model-linear-fusion-framework","title":"FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement","date":"2025-04-27","arxiv_id":"2504.19295","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-guided-diffusion-transformer-for","title":"Structure-guided Diffusion Transformer for Low-Light Image Enhancement","date":"2025-04-21","arxiv_id":"2504.15054","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-physics-informed-color-aware","title":"Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement","date":"2025-04-16","arxiv_id":"2504.11896","repositories_listed":0,"syntology":null},{"url":null,"slug":"agentpolyp-accurate-polyp-segmentation-via","title":"AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent","date":"2025-04-15","arxiv_id":"2504.10978","repositories_listed":0,"syntology":null},{"url":null,"slug":"ukdm-underwater-keypoint-detection-and","title":"UKDM: Underwater keypoint detection and matching using underwater image enhancement techniques","date":"2025-04-15","arxiv_id":"2504.11063","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-harmonize-cross-vendor-x-ray","title":"Learning to Harmonize Cross-vendor X-ray Images by Non-linear Image Dynamics Correction","date":"2025-04-14","arxiv_id":"2504.10080","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-light-image-enhancement-using-event-based","title":"Low-Light Image Enhancement using Event-Based Illumination Estimation","date":"2025-04-13","arxiv_id":"2504.09379","repositories_listed":0,"syntology":null},{"url":null,"slug":"nonlocal-retinex-based-variational-model-and","title":"Nonlocal Retinex-Based Variational Model and its Deep Unfolding Twin for Low-Light Image Enhancement","date":"2025-04-10","arxiv_id":"2504.07810","repositories_listed":0,"syntology":null},{"url":null,"slug":"lumina-omnilv-a-unified-multimodal-framework","title":"Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision","date":"2025-04-07","arxiv_id":"2504.04903","repositories_listed":0,"syntology":null},{"url":null,"slug":"hpgn-hybrid-priors-guided-network-for","title":"HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement","date":"2025-04-03","arxiv_id":"2504.02373","repositories_listed":0,"syntology":null},{"url":null,"slug":"semiisp-semiie-semi-supervised-image-signal","title":"SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW","date":"2025-04-03","arxiv_id":"2504.02345","repositories_listed":0,"syntology":null},{"url":null,"slug":"lenviz-a-high-resolution-low-exposure-night","title":"LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset","date":"2025-03-25","arxiv_id":"2503.19804","repositories_listed":0,"syntology":null},{"url":null,"slug":"llgs-unsupervised-gaussian-splatting-for","title":"LLGS: Unsupervised Gaussian Splatting for Image Enhancement and Reconstruction in Pure Dark Environment","date":"2025-03-24","arxiv_id":"2503.18640","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-underwater-image-enhancement","title":"Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach","date":"2025-03-23","arxiv_id":"2503.17937","repositories_listed":0,"syntology":null},{"url":null,"slug":"dream-if-dynamic-relative-enhancement-for","title":"Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion","date":"2025-03-13","arxiv_id":"2503.10109","repositories_listed":0,"syntology":null},{"url":null,"slug":"quiet-sr-quantum-image-enhancement","title":"QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution","date":"2025-03-11","arxiv_id":"2503.08759","repositories_listed":0,"syntology":null},{"url":null,"slug":"gm-moe-low-light-enhancement-with-gated","title":"GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts","date":"2025-03-10","arxiv_id":"2503.07417","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-adaptive-underwater-image-enhancement","title":"An Adaptive Underwater Image Enhancement Framework via Multi-Domain Fusion and Color Compensation","date":"2025-03-05","arxiv_id":"2503.03640","repositories_listed":0,"syntology":null},{"url":null,"slug":"striving-for-faster-and-better-a-one-layer","title":"Striving for Faster and Better: A One-Layer Architecture with Auto Re-parameterization for Low-Light Image Enhancement","date":"2025-02-27","arxiv_id":"2502.19867","repositories_listed":0,"syntology":null},{"url":null,"slug":"clip-optimized-multimodal-image-enhancement","title":"CLIP-Optimized Multimodal Image Enhancement via ISP-CNN Fusion for Coal Mine IoVT under Uneven Illumination","date":"2025-02-26","arxiv_id":"2502.19450","repositories_listed":0,"syntology":null},{"url":null,"slug":"ilacs-lgot-a-multi-layer-contrast-enhancement","title":"ILACS-LGOT: A Multi-Layer Contrast Enhancement Approach for Palm-Vein Images","date":"2025-02-26","arxiv_id":"2502.19456","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-partial-differential-equation-and","title":"Improved Partial Differential Equation and Fast Approximation Algorithm for Hazy/Underwater/Dust Storm Image Enhancement","date":"2025-02-21","arxiv_id":"2502.15986","repositories_listed":0,"syntology":null},{"url":null,"slug":"lumina-net-low-light-upgrade-through-multi","title":"LUMINA-Net: Low-light Upgrade through Multi-stage Illumination and Noise Adaptation Network for Image Enhancement","date":"2025-02-21","arxiv_id":"2502.15186","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimized-pap-smear-image-enhancement-hybrid","title":"Optimized Pap Smear Image Enhancement: Hybrid PMD Filter-CLAHE Using Spider Monkey Optimization","date":"2025-02-21","arxiv_id":"2502.15156","repositories_listed":0,"syntology":null},{"url":null,"slug":"eyebench-a-call-for-more-rigorous-evaluation","title":"EyeBench: A Call for More Rigorous Evaluation of Retinal Image Enhancement","date":"2025-02-20","arxiv_id":"2502.14260","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-for-ultrasound-image","title":"Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications","date":"2025-02-20","arxiv_id":"2502.14995","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-survey-on-image-signal","title":"A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement","date":"2025-02-09","arxiv_id":"2502.05995","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-evaluation-of-image-enhancement","title":"Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprint Recognition","date":"2025-02-07","arxiv_id":"2502.04680","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-river-connectivity","title":"A framework for river connectivity classification using temporal image processing and attention based neural networks","date":"2025-02-01","arxiv_id":"2502.00474","repositories_listed":0,"syntology":null},{"url":null,"slug":"directing-mamba-to-complex-textures-an","title":"Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration","date":"2025-01-27","arxiv_id":"2501.16583","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-confocal-laser-scanning-microscopy","title":"Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders","date":"2025-01-24","arxiv_id":"2501.14709","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-do-you-go-pedestrian-trajectory","title":"Where Do You Go? Pedestrian Trajectory Prediction using Scene Features","date":"2025-01-23","arxiv_id":"2501.13848","repositories_listed":0,"syntology":null},{"url":null,"slug":"dlen-dual-branch-of-transformer-for-low-light","title":"DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domains","date":"2025-01-21","arxiv_id":"2501.12235","repositories_listed":0,"syntology":null},{"url":null,"slug":"quality-enhancement-of-radiographic-x-ray","title":"Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping","date":"2025-01-21","arxiv_id":"2501.12245","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-supervision-for-low-light","title":"Natural Language Supervision for Low-light Image Enhancement","date":"2025-01-11","arxiv_id":"2501.06546","repositories_listed":0,"syntology":null},{"url":null,"slug":"underwater-image-enhancement-using-generative","title":"Underwater Image Enhancement using Generative Adversarial Networks: A Survey","date":"2025-01-10","arxiv_id":"2501.06273","repositories_listed":0,"syntology":null},{"url":null,"slug":"hipyrnet-hypernet-guided-feature-pyramid","title":"HipyrNet: Hypernet-Guided Feature Pyramid network for mixed-exposure correction","date":"2025-01-09","arxiv_id":"2501.05195","repositories_listed":0,"syntology":null},{"url":null,"slug":"color-correction-meets-cross-spectral","title":"Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration","date":"2025-01-08","arxiv_id":"2501.04740","repositories_listed":0,"syntology":null},{"url":null,"slug":"recognition-oriented-low-light-image","title":"Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization","date":"2025-01-08","arxiv_id":"2501.04210","repositories_listed":0,"syntology":null}],"record_sha256":"3f91773150f6509c3863851e1e9aec66c88b8d20fd8bbfce3ff38ba5e378cb27","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}