A Novel Channel Coding for Progressive Transmission of Medical Images

TL;DR

This paper introduces a new channel coding scheme for progressive medical image transmission that reduces transmission time and errors, ensuring critical regions are transmitted without visible errors.

Contribution

It presents a novel system combining wavelet decomposition and Hamming coding for efficient, low-error, progressive transmission of large medical images.

Findings

Significantly reduces transmission time.

Ensures low distortion in critical image regions.

Simplifies implementation with Haar wavelet and Hamming code.

Abstract

A novel channel coding scheme for progressive transmission of large images is proposed. The transmission time, low distortion reconstructed image and low complexity are most concerned in this paper. In the case of medical data transmission, it is vital to keep the distortion level under control as in most of the cases certain clinically important regions have to be transmitted without any visible error. The proposed system significantly reduces the transmission time and error. The progressive transmission is based on the process that the input image is decomposed into many subblocks each to be coded, compressed, and transmitted individually. Therefore, firstly the image is segmented into a number of subblocks and then the discrete wavelet transform decomposes each subblock into different time-frequency components. Finally the components are coded for error control and transmitted. The complete system is coded in VHDL. In the proposed system, we choose a 3-level Haar wavelet transform to perform the wavelet transform for each subblock. It is simple, faster and easier to implement when compared with other transform method. The channel coding used here is Hamming code which is a simpler and efficient forward error control code.