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PQDynamicISP: Dynamically Controlled Image Signal Processor for Any Image Sensors Pursuing Perceptual Quality

arXiv 2403.10091 ↗First posted 15 Mar 2024eess.IV cs.CVcited by 2

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Abstract (arXiv)

Full DNN-based image signal processors (ISPs) have been actively studied and have achieved superior image quality compared to conventional ISPs. In contrast to this trend, we propose a lightweight ISP that consists of simple conventional ISP functions but achieves high image quality by increasing expressiveness. Specifically, instead of tuning the parameters of the ISP, we propose to control them dynamically for each environment and even locally. As a result, state-of-the-art accuracy is achieved on various datasets, including other tasks like tone mapping and image enhancement, even though ours is lighter than DNN-based ISPs. Additionally, our method can process different image sensors with a single ISP through dynamic control, whereas conventional methods require training for each sensor.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 38 of its 69 references that are in the map. First posted on arXiv 15 Mar 2024.

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38 of 69 references.

References · 38

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26 more
  1. 2020Replacing Mobile Camera ISP with a Single Deep Learning Modelcited by 108
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  24. 2023Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mappingcited by 12
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