A Perception-based Color Correction Method for Multi-view Images

A Perception-based Color Correction Method for Multi-view Images
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一种基于感知的多视角图像色彩校正方法

DOI:
10.3837/tiis.2011.02.009
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发表时间:
2011-02
影响因子:
1.5
通讯作者:
Zongju Peng
Zongju Peng
中科院分区:
计算机科学4区
文献类型:
--
作者:
Feng Shao;Gangyi Jiang;Mei Yu;Zongju Peng

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三维(3D)视频技术正变得越来越流行,因为它可以为用户提供高质量和沉浸式体验。然而,在多视点成像中,视点间的颜色不一致是一个亟待解决的问题。提出了一种基于感知的多视点图像颜色校正方法。在所提出的方法中,人类视觉敏感度(VS)和视觉注意力(VA)模型被纳入校正过程。首先,利用VS特性去除视觉不敏感区域,降低计算复杂度。其次,使用VA属性通过执行VA相关的颜色校正来改善局部VA区域的感知质量。实验结果表明,与其他颜色校正方法相比,该方法能极大地提高局部VA区域的感知质量,降低计算复杂度,获得更高的编码性能。
Three-dimensional (3D) video technologies are becoming increasingly popular, as it can provide users with high quality and immersive experiences. However, color inconsistency between the camera views is an urgent problem to be solved in multi-view imaging. In this paper, a perception-based color correction method for multi-view images is proposed. In the proposed method, human visual sensitivity (VS) and visual attention (VA) models are incorporated into the correction process. Firstly, the VS property is used to reduce the computational complexity by removing these visual insensitive regions. Secondly, the VA property is used to improve the perceptual quality of local VA regions by performing VA-dependent color correction. Experimental results show that compared with other color correction methods, the proposed method can greatly promote the perceptual quality of local VA regions greatly and reduce the computational complexity, and obtain higher coding performance.
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