Authors : AL Nuaimi Bashar, Taha Mohammed Hasan, Mohammed Ali Al-Azzawi and Jumana Waleed
Abstract: Laser Speckle Contrast Imaging (LSCI) is a full–field optical method to monitor microvascular blood flow. This technique provides images with excellent spatial and temporal resolution information from which blood cells velocity values can be computed. Compression offers a means to reduce the space storage and increase the speed of transmission. The goal of this research is to analysis the effect of laser speckle perfusion images compression with standard algorithms (lossy and lossless). In this study, we selected 10 sequences of 60 images of LSCI. Standard compression algorithms JPEG and JPEG2k deal with integer pixel values (pixels coded on 1 or 2 bytes) which is not the case for LSCI data. Therefore, the aim to test a standard algorithm on 10 LSCI recording. Experimental results are evaluated in terms of compression ratio and Peak Signal to Noise Ratio (PSNR). For this purpose, we suggest to process laser speckle contrast images by calculate the differences in velocity values which is used as a clinical quality measurement by compute from images obtained after a 8 bits integer conversion by lossless and lossy version. This study demonstrate the ability to compress LSCI data with a standard method with high average compression ratio for perfusion image and good image quality.
AL Nuaimi Bashar, Taha Mohammed Hasan, Mohammed Ali Al-Azzawi and Jumana Waleed, 2019. Effects of JPEG and JPEG2K Standard Algorithms on Compression of Laser Speckle Images: Image Quality and on a Clinical Parameter Accuracy. Journal of Engineering and Applied Sciences, 14: 6400-6405.