Visual fidelity of reconstructed radiographic images using wavelet transform coding and JPEG

R. Muyshondt, S. Mitra
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引用次数: 5

Abstract

The past few years have seen a rapid development in the areas of image compression techniques. This increase is mainly attributed to the current need for efficient storage and fast transmission of data among individuals using the information superhighway. A particular place of interest is in the area of telemedicine, where rapid transmission and effective storage leads to price reduction in medical costs. Thus, in order to achieve maximal storage and transmission parameters, the different compression algorithms should be compared in order to find an optimal technique for medical image compression. In this paper, we compare the performance of the wavelet transform to the current JPEG standard. We performed our comparisons on radiographic images and used criteria such as visual quality, peak signal-to-noise ratio and mean square error, in order to judge the compression capabilities of both techniques. Wavelet reconstructed images outperformed JPEG reconstruction in all the above criteria.<>
基于小波变换编码和JPEG的重建图像视觉保真度研究
在过去的几年里,图像压缩技术得到了迅速的发展。这一增长主要归因于当前使用信息高速公路的个人之间对有效存储和快速传输数据的需求。一个特别值得关注的领域是远程医疗领域,在该领域,快速传输和有效存储导致医疗费用的价格下降。因此,为了获得最大的存储和传输参数,需要对不同的压缩算法进行比较,以找到最优的医学图像压缩技术。在本文中,我们比较了小波变换与当前JPEG标准的性能。我们对放射图像进行了比较,并使用视觉质量、峰值信噪比和均方误差等标准来判断这两种技术的压缩能力。小波重构图像在上述各项指标上均优于JPEG重构
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