Regularized Iterative Restoration of Combined Optical and Color Filter Array Degradation

Yoonjong Yoo, Sinyoung Jun, Jeongho Shin, J. Paik
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Abstract

This paper presents an image formation model of a digital camera with consideration of both optical and the Bayer color filter array (CFA) degradations. Based on the proposed model, a regularized iterative image restoration algorithm is presented to deconvolve the space-variant image degradation. The spatially adaptive version further improves the restoration quality. Hardware implementation issues are briefly summarized, and future modification plan is presented.
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组合光学滤光片和彩色滤光片阵列退化的正则化迭代恢复
本文提出了一种同时考虑光学和拜耳彩色滤光片阵列(CFA)退化的数码相机图像形成模型。在该模型的基础上,提出了一种正则化迭代图像恢复算法,对空间变异性图像退化进行反卷积。空间自适应版本进一步提高了恢复质量。简要总结了硬件实现中存在的问题,并提出了今后的改进方案。
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