一个强大的,具有成本效益的后处理器,用于增强去马赛克相机图像

Rastislav Lukac , Konstantinos N. Plataniotis
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引用次数: 20

摘要

本文提出了一种有效的后处理/增强解决方案,能够减少图像去马赛克过程中引入的视觉伪影。边缘感知权重和原始颜色滤波阵列数据用于检测捕获图像中的结构元素,并使用自适应的基于光谱模型的增强操作来校正由去马赛克过程产生的颜色成分。该解决方案在客观和主观图像质量测量方面都产生了出色的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust, cost-effective post-processor for enhancing demosaicked camera images

This paper presents an efficient post-processing/enhancement solution capable of reducing visual artifacts introduced during the image demosaicking process. Edge-sensing weights and the original color filter array data are used to detect structural elements in the captured image, and correct color components generated by the demosaicking process using adaptive, spectral model-based enhancement operations. The solution produces excellent results in terms of both objective and subjective image quality measures.

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