CBIR操作与压缩过程中图像质量的研究进展

D. Singla, D. Kumar, Sakshi Dhingra
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引用次数: 0

摘要

本文对CBIR操作时的图像质量进行了综述。研究表明,即使在进行压缩后,仍然可以保持图像的质量。研究工作突出了CBIR操作和压缩操作对图像质量的影响。图像处理研究的主要问题是图像处理对图像质量的影响。此外,有必要讨论无损压缩机制,以保持图像的质量。研究论文考虑了现有研究论文所使用的不同方法及其工作机制、优缺点。研究将图像处理视为从图像中提取信息并将其组合用于各种应用的过程。图像处理程序在各种情况下都很有用。一些例子包括医学成像,工业应用。还考虑了遥感、空间以及军事应用。计算机视觉机制在图形内容检索中的应用一直被认为是海量数据库中数字图像检索的一个挑战。现有的研究一直致力于在保持图像质量的前提下提高图像处理的整体性能。此外,准确的决策也有所增加。研究人员选择在CBIR操作期间保持图像质量。
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A Review on Quality of Image during CBIR Operations and Compression
The research paper is review the quality of image at the time of CBIR operation. Research is opting to maintain the quality of image even after performing compression. Research work has highlighted the impact of CBIR operation and compression operation over quality of image. The major issue in image processing research is impact of image processing over image quality. Moreover there is need to discuss loss less compression mechanism to retain quality of image. Research paper is considering different methodologies used by existing research paper along with their working mechanism, advantages and disadvantage. Research is considering image processing as process of extracting information from pictures and combining it for use in a variety of applications. Image processing programmes are useful in a variety of situations. A few examples include medical imaging, industrial applications. The remote sensing, spaces as well as military applications are also considered. The application of computer vision mechanism to the graphic content retrieval problem has been considered a challenge in finding digital pictures in huge databases. Existing researches have worked to improve the overall performance during image processing by retaining quality of the image. Moreover, there is increase in accurate decisions making. Research is opting to retain the quality of image during CBIR operations.
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