Comparative Performance of Different Linear Transforms for Magnetic Resonance Angiography Image Compression

ABSTRACT

Magnetic Resonance Angiography (MRA) is used to image blood vessels. The enhancement in image compression is largely related to fast and efficient methods for the storage and transmission of information between individuals. This effort examines the comparative performance of Wave Atom Transform (WAT), Discrete Cosine Transform (DCT), Discrete Sine Transform (DST) and Wavelet Transform (WT) methods using analysis of variance (ANOVA) for MRA image compression. There was no significant effect of different MRA image on peak signal to noise ratio (PSNR). In each transform, PSNR increases with an increase in bit per pixel (bpp). Wavelet transform performs well among the different transforms in terms of quality and compression of image. Future work needs to done by comparing different transforms by using different techniques for MRA image compression.

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Updated: June 26, 2023 — 3:01 am