实现压缩与高质量重建的美国彩色和灰色图像在降低采样率

IF 0.6 Q3 Engineering
V. Tiwari, P. Bansod, Abhay Kumar
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引用次数: 0

摘要

本文致力于减少医学成像中的测量次数,以减少对患病患者的辐射暴露,同时在采样率小于奈奎斯特率的情况下实现更高的压缩比(CR)。对灰色和彩色US图像中获得的压缩率进行了比较。彩色化方法已应用于美国彩色图像。已经在着色方法中提出了适当的修改以提取颜色代表像素(RP)。利用峰值信噪比、结构相似性指数、特征相似性指数和均方误差参数对重建的灰度和彩色图像的质量进行了评估。结果表明,75%的CR可以重建出可接受的US彩色图像质量,而50%的CR可以令人满意地重建出灰度图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Achieving compression with high-quality reconstructed US colour and grey images at reduced sampling rate
This paper is an endeavour to reduce the number of measurements to be taken in medical imaging, so as to reduce radiation exposure given to an ailing patient and at the same time achieve higher compression ratio (CR) under the case when sampling rate is lesser than the Nyquist rate. The obtained rate of compression in grey and colour US images has been compared. Colourization method has been applied on US colour images. Suitable modifications have been proposed in the colourisation method to extract colour representative pixels (RPs). The reconstructed grey and colour image quality has been evaluated using peak signal-to-noise ratio, structural similarity index, feature similarity index and mean square error parameters at different CR. It has been shown that an acceptable quality of US colour images can be reconstructed with 75% CR, whereas grey image is reconstructed satisfactorily with 50% CR.
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