Biomedical Image Compression Using BTC Method with Rectangular Truncation Matrix

Abstract: Biomedical images are important factor in health care for diagnosis of disease. As medical imaging faclities are moving towards film less imaging technology, digital image processing techniques plays an important role. Image compression technique is an important multimedia application to effectively store and transmit data at lower bandwidth. BTC based algorithm is designed to compress the biomedical CT-scan image. A new application of block truncation coding (BTC) is presented to compress gray as well as rgb CT-scan images with rectangular non-overlapping truncation matrix. Experimental results are presented which demonstrate that at lower value of truncation matrix, the compression rate is low with image characteristic parameters close to the original image values.

Keywords: BTC, SNR, PSNR, RMSE, Compression.