屏幕内容编码使用代码库进行复合图像压缩

V. N. Manju, A. Fred
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引用次数: 0

摘要

复合图像由文本、图形和连续色调内容堆叠而成。屏幕内容编码(SCC)使用多层图形和文本来提高图像的压缩质量,这些图像是由数字设备生成的,而不是由相机捕获的图像,因为这些图像具有重复的模式。在不修改HEVC语法的前提下,提出了一种基于哈希技术的帧内字典编码。在我们提出的系统中,当前块与持有相同哈希值的相关块进行映射。这些块被视为预测块,并从预测块中选择最佳块并编码到存储库中。采用速率失真优化可以进一步提高编码效率。与现有系统相比,该系统的压缩比达到95%以上。在MATLAB中对算法进行了编码,并对编码结果进行了分析。
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Screen content coding using code repository for compound image compression
Compound Images are stacked with text, graphics and continuous tone contents. Screen Content Coding (SCC) improves the compression quality of images with multilayer of graphics and text that are generated by digital devices rather than camera-captured images, since these images possess repetitive patterns. We proposed an Intra-Frame Dictionary Coding based on hashing technique without modifying the HEVC syntaxes. In our proposed system the current blocks are mapped with related blocks holding the same hash value. These blocks are considered as prediction blocks and the best block is selected from the prediction blocks and encoded in a repository. Further the proposed coding efficiency can be enhanced by employing the Rate Distortion Optimization. The proposed system results when compared with the existing system displays a better performance of 95% in terms of compression ratio. The proposed algorithm is coded in MATLAB and the results were analyzed.
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