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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >A Block-Based JPEG-LS Compression Technique with Lossless Region of Interest
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A Block-Based JPEG-LS Compression Technique with Lossless Region of Interest

机译：具有无损关注区域的基于块的JPEG-LS压缩技术

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JPEG-LS lossless compression algorithm is used in many specialized applications that emphasize on the attainment of high fidelity for its lower complexity and better compression ratios than the lossless JPEG standard. But it cannot prevent error diffusion because of the context dependence of the algorithm, and have low compression rate when compared to lossy compression. In this paper, we firstly divide the image into two parts: ROI regions and non-ROI regions. Then we adopt a block-based image compression technique to decrease the range of error diffusion. We provide JPEG-LS lossless compression for the image blocks which include the whole or part region of interest (ROI) and JPEG-LS near lossless compression for the image blocks which are included in the non-ROI (unimportant) regions. Finally, a set of experiments are designed to assess the effectiveness of the proposed compression method.
机译：JPEG-LS无损压缩算法在许多专门的应用程序中得到了使用，这些算法强调了高保真度，因为它具有比无损JPEG标准更低的复杂度和更好的压缩率。但是由于算法的上下文依赖性，它不能防止错误扩散，并且与有损压缩相比，压缩率低。在本文中，我们首先将图像分为两部分：ROI区域和非ROI区域。然后，我们采用基于块的图像压缩技术来减小误差扩散的范围。我们为包括全部或部分感兴趣区域（ROI）的图像块提供JPEG-LS无损压缩，为包含在非ROI（不重要）区域中的图像块提供JPEG-LS近无损压缩。最后，设计了一组实验来评估所提出的压缩方法的有效性。

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