A Visual Lossless Image-Recompression Framework 被引量：1

A Visual Lossless Image-Recompression Framework

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摘要 In this paper, we propose a novel image recompression frame- work and image quality assessment （IQA） method to efficiently recompress Internet images. With this framework image size is significantly reduced without affecting spatial resolution or perceptible quality of the image. With the help of IQA, the relationship between image quality and image evaluation scores can be quickly established, and the optimal quality factor can be obtained quickly and accurately within a pre - determined perceptual quality range. This process ensures the image＇s perceptual quality, which is applied to each input image. The test results show that, using the proposed method, the file size of images can be reduced by about 45%-60% without affecting their visual quality. Moreover, our new image -reeompression framework can be used in to many different application scenarios. In this paper, we propose a novel image recompression frame- work and image quality assessment （IQA） method to efficiently recompress Internet images. With this framework image size is significantly reduced without affecting spatial resolution or perceptible quality of the image. With the help of IQA, the relationship between image quality and image evaluation scores can be quickly established, and the optimal quality factor can be obtained quickly and accurately within a pre - determined perceptual quality range. This process ensures the image＇s perceptual quality, which is applied to each input image. The test results show that, using the proposed method, the file size of images can be reduced by about 45%-60% without affecting their visual quality. Moreover, our new image -reeompression framework can be used in to many different application scenarios.

作者 Ping Lu Xia Jia Hengliang Zhu Ming Liu Shouhong Ding Lizhuang Ma

机构地区 ZTE Corporation Shanghai Jiao Tong University

出处《ZTE Communications》 2015年第2期36-40,共5页 中兴通讯技术（英文版）

基金 supported in part by China"973"Program under Grant No.2014CB340303

关键词 image recompression image quality assessment user experience visual lossless image recompression image quality assessment user experience visual lossless

分类号 TP391.41 [自动化与计算机技术—计算机应用技术]

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