{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/camera-lens-super-resolution","title":"Camera Lens Super-Resolution","arxiv_id":"1904.03378","date":"2019-04-06","proceeding":"CVPR 2019 6","authors":["Chang Chen","Zhiwei Xiong","Xinmei Tian","Zheng-Jun Zha","Feng Wu"],"abstract":"Existing methods for single image super-resolution (SR) are typically\nevaluated with synthetic degradation models such as bicubic or Gaussian\ndownsampling. In this paper, we investigate SR from the perspective of camera\nlenses, named as CameraSR, which aims to alleviate the intrinsic tradeoff\nbetween resolution (R) and field-of-view (V) in realistic imaging systems.\nSpecifically, we view the R-V degradation as a latent model in the SR process\nand learn to reverse it with realistic low- and high-resolution image pairs. To\nobtain the paired images, we propose two novel data acquisition strategies for\ntwo representative imaging systems (i.e., DSLR and smartphone cameras),\nrespectively. Based on the obtained City100 dataset, we quantitatively analyze\nthe performance of commonly-used synthetic degradation models, and demonstrate\nthe superiority of CameraSR as a practical solution to boost the performance of\nexisting SR methods. Moreover, CameraSR can be readily generalized to different\ncontent and devices, which serves as an advanced digital zoom tool in realistic\nimaging systems. Codes and datasets are available at\nhttps://github.com/ngchc/CameraSR.","url_abs":"http://arxiv.org/abs/1904.03378v1","url_pdf":"http://arxiv.org/pdf/1904.03378v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"camera-lens-super-resolution","repo_url":"https://github.com/ngchc/CameraSR","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"image-super-resolution","task_name":"Image Super-Resolution"},{"task_slug":"super-resolution","task_name":"Super-Resolution"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1904.03378","atlas_url":"https://app.syntology.ai/?focus=1904.03378","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.03378"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/ngchc/CameraSR","reach":null}],"summary":{"unverified":1},"by_repo_kind":{"official":{"samples":1,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"27368c1cf3c3ab65","entry":"compute_psnr","repo":"ngchc/CameraSR","repo_kind":"official","path":"Models/VDSR/inference.py","file_url":"https://github.com/ngchc/CameraSR/blob/HEAD/Models/VDSR/inference.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"27368c1cf3c3ab65"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}