Chromatic aberration correction in RAW domain for image quality enhancement in image sensor processors

A. Lluis-Gomez, E. Edirisinghe
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引用次数: 7

Abstract

Taking sharp and high-resolution images usually relies on high quality camera systems. In this paper, we present an approach to correct chromatic aberrations distortions on images caused by imperfect optics. The proposed system relies on a calibration step where the distortion produced by the lens is estimated, followed by a second stage where the image is enhanced. The proposed system works in RAW domain as a pre-processing process to facilitate the demosaicing, and noise reduction process in an image sensor processor (ISP). The results of the proposed method prove that both the lateral and the longitudinal aberrations can be corrected, is computational efficient and also facilitates the functioning of an ISP pipeline producing sharper and less noisy images.
图像传感器处理器RAW域色差校正提高图像质量
拍摄清晰的高分辨率图像通常依赖于高质量的相机系统。本文提出了一种校正由光学不完美引起的图像色差畸变的方法。所提出的系统依赖于一个校准步骤,其中透镜产生的畸变被估计,然后是图像增强的第二阶段。该系统工作在RAW域作为预处理过程,以促进图像传感器处理器(ISP)的去马赛克和降噪过程。实验结果表明,该方法可以对横向和纵向像差进行校正,计算效率高,并且有利于ISP管道的工作,产生更清晰、更低噪点的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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