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JND based Illumination and Color Restoration Using Edge-preserving Filter  

Han, Hee-Chul (DMC R&D Center Samsung Electronics, School of Electrical and Electronic Engineering Yonsei University)
Sohn, Kwan-Hoon (School of Electrical and Electronic Engineering, Yonsei University, Yonsei University)
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Abstract
We present the framework for JND based Illumination and Color Restoration Using Edge-preserving filter for restoring distorted images taken under the arbitrary lighting conditions. The proposed method is effective for appropriate illumination compensation, vivid color restoration, artifacts suppression, automatic parameter estimation, and low computation cost for HW implementation. We show the efficiency of the mean shift filter and sigma filter for illumination compensation with small spread parameter while considering the processing time and removing the artifacts such as HALO and noise amplification. The suggested CRF (color restoration filter) can restore the natural color and correct color distortion artifact more perceptually compared with current solutions. For the automatic processing, the image statistics analysis finds suitable parameter using JND and all constants are pre-defined. We also introduce the ROI-based parameter estimation dealing with small shadow area against spacious well-exposed background in an image for the touch-screen camera. The object evaluation is performed by CMC, CIEde2000, PSNR, SSIM, and 3D CIELAB gamut with state-of-the-art research and existing commercial solutions.
Keywords
휘도 보상;색상 복원;경계 보호 평탄화 필터;디지털 카메라;
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