{"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/high-throughput-2d-spatial-image-filters-on","title":"High Throughput 2D Spatial Image Filters on FPGAs","arxiv_id":"1710.05154","date":"2017-10-14","proceeding":null,"authors":["Abdullah Al-Dujaili","Suhaib A. Fahmy"],"abstract":"FPGAs are well established in the signal processing domain, where their fine-grained programmable nature allows the inherent parallelism in these applications to be exploited for enhanced performance. As architectures have evolved, FPGA vendors have added more heterogeneous resources to allow often-used functions to be implemented with higher performance, at lower power and using less area. DSP blocks, for example, have evolved from basic multipliers to support the multiply-accumulate operations that are the core of many signal processing tasks. While more features were added to DSP blocks, their structure and connectivity has been optimised primarily for one-dimensional signal processing. Basic operations in image processing are similar, but performed in a two-dimensional structure, and hence, many of the optimisations in newer DSP blocks are not exploited when mapping image processing algorithms to them. We present a detailed study of two-dimensional spatial filter implementation on FPGAs, showing how to maximise performance through exploitation of DSP block capabilities, while also presenting a lean border pixel management policy.","url_abs":"http://arxiv.org/abs/1710.05154v2","url_pdf":"http://arxiv.org/pdf/1710.05154v2.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":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"high-throughput-2d-spatial-image-filters-on","repo_url":"https://github.com/ash-aldujaili/spatial-filter-hdl","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}