Retinex-based low-light image enhancement with multi-channel feature optimization. [PDF]
Wang Z, Qiao Y, Cang Y.
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Connections between Retinex, neural models and variational methods
Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology.This paper explores the interrelations between ...
Bertalmío, Marcelo
core
A Fiducial-Marker-Based Localization Method for Automotive Chassis Bolt Assembly. [PDF]
Peng X, Xiao Y, Chen Z, Chen K, Huang H.
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Retinex Theory-based RGB to RGBW Conversion for RGBW Displays
DoctorRGBW displays adding a white sub-pixel to conventional RGB displays are widely used for solving the low transmittance problem of high definition displays.
권경준
core
A Two-Level Illumination Correction Network for Digital Meter Reading Recognition in Non-Uniform Low-Light Conditions. [PDF]
Fu H, Xie Z, Jiang W, Ma X, Yang D.
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A Discriminative Enhancement and Selective Fusion Method for Low-Light Cross-Spectral Object Detection. [PDF]
Yang P, Jiang J, Zhang Y.
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RICNET: Retinex-Inspired Illumination Curve Estimation for Low-Light Enhancement in Industrial Welding Scenes. [PDF]
Shi C +6 more
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Comfort-Oriented Pothole Traversal Using Multi-Sensor Perception and Fuzzy Control. [PDF]
Yuan C +7 more
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Retinexmamba: Retinex-based Mamba for Low-light Image Enhancement
In the field of low-light image enhancement, both traditional Retinex methods and advanced deep learning techniques such as Retinexformer have shown distinct advantages and limitations.
Bai, Jiesong +4 more
core
BGIR: A Low-Illumination Remote Sensing Image Restoration Algorithm with ZYNQ-Based Implementation. [PDF]
Guo Z, Zheng L, Xu W.
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