The primary research on image color quality evaluation

Tao Jing, Yubin Xia, Lei Yan
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Abstract

The image color and vision quality evaluation plays a very important role in the algorithm design and their optimizations of image reconstruction processing. As human eyes are the last receivers for image information, we build a general evaluation model on the HVS (human visual system) and HCPM (human color perception model). According to the psychology and physiology experiments and color perception tests, by which "representation without reconstruction" is the precondition of visual perception, we build a bottom-up information acquisition model under top-bottom feedback processing driven by knowledge. In the model, the visual information from different position with varied spatial resolution is dealt with the quantificational and qualitative analysis under the precondition of the guidance of the given task and well perceptional condition.
图像色彩质量评价的初步研究
图像颜色和视觉质量的评价在图像重建处理的算法设计和优化中起着非常重要的作用。由于人眼是图像信息的最后接收者,我们在HVS(人类视觉系统)和HCPM(人类色彩感知模型)的基础上建立了一个通用的评价模型。根据以“无再现”为视觉感知前提的心理生理实验和色彩感知测试,构建了知识驱动下自上而下反馈加工下的自下而上信息获取模型。该模型在给定任务指导和良好感知条件的前提下,对不同位置、不同空间分辨率的视觉信息进行定量和定性分析。
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