利用色彩适应和感知锚定的非白色表面投影图像的辐射补偿。

IF 10.8 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
IEEE Transactions on Image Processing Pub Date : 2017-01-01 Epub Date: 2016-07-18 DOI:10.1109/TIP.2016.2592799
Tai-Hsiang Huang, Ting-Chun Wang, Homer H Chen
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引用次数: 7

摘要

在我们的生活环境中,用作投影屏幕替代品的平面不一定是白色的。我们提出了一种感知辐射补偿方法来抵消彩色投影表面对图像外观的影响。它利用人类视觉系统的锚定特性,在保留图像色调和亮度的同时,减少了颜色裁剪。此外,它还考虑了色彩适应对感知图像质量的影响,并通过将图像像素的颜色适当地向投影表面的互补色偏移来固定非白色投影表面引起的颜色失真。用户评分显示,在1020次主观测试中,我们的方法在974次中优于现有方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radiometric Compensation of Images Projected on Non-White Surfaces by Exploiting Chromatic Adaptation and Perceptual Anchoring.

Flat surfaces in our living environment to be used as replacements of a projection screen are not necessarily white. We propose a perceptual radiometric compensation method to counteract the effect of color projection surfaces on image appearance. It reduces color clipping while preserving the hue and brightness of images based on the anchoring property of human visual system. In addition, it considers the effect of chromatic adaptation on perceptual image quality and fixes the color distortion caused by non-white projection surfaces by properly shifting the color of the image pixels toward the complementary color of the projection surface. User ratings show that our method outperforms the existing methods in 974 out of 1020 subjective tests.

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来源期刊
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing 工程技术-工程:电子与电气
CiteScore
20.90
自引率
6.60%
发文量
774
审稿时长
7.6 months
期刊介绍: The IEEE Transactions on Image Processing delves into groundbreaking theories, algorithms, and structures concerning the generation, acquisition, manipulation, transmission, scrutiny, and presentation of images, video, and multidimensional signals across diverse applications. Topics span mathematical, statistical, and perceptual aspects, encompassing modeling, representation, formation, coding, filtering, enhancement, restoration, rendering, halftoning, search, and analysis of images, video, and multidimensional signals. Pertinent applications range from image and video communications to electronic imaging, biomedical imaging, image and video systems, and remote sensing.
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