Investigative Protocol Design of Layer Optimized Image Compression in Telemedicine Environment.

Telemedicine in India is expanding and thus it is essential for application to reduce storage and transmission bandwidth. The prime objective in this paper is to demonstrate an investigative protocol for medical image compression in telemedicine. The method is based on Integer Wavelet Transform (IWT) and Huffman's Coding for image compression with an added novelty of machine learning terminology for extracting the region of image based on pixel density and optimized layering for neighboring pixel ratio analysis. The experimental results are evaluated and demonstrated on open medical datasets and has acquired minimal predictive error, improvised Signal to Noise Ratio (SNR) with respect to Compression Ratio (CR) ratio and optimized bandwidth under transmission. [ABSTRACT FROM AUTHOR]