JIC_V1_N3_RP4 E. Sivasankari R. Jayanthi Journal on Instrumentation & Control Engineering 2321 – 1148 1 3 22 30 Retinal Images, Image Compression, Region of Interest, Integer Multi Wavelet Transform, SHIPT, Modified Embedded Zero Tree Teleophthalmology has the potential to help in electronic delivery of diagnostic and healthcare services to remote rural population. It enables one or more ophthalmologists to remotely examine a patient's condition via public Internet networks. Large bandwidth is necessary for transmitting retinal images over the wireless network. So there is an immense need for high speed and efficient transmission and reduction in storage space resourceful compression techniques is essential. The main goal of proposed work is to provide an efficient tool for defining to maximize compression and reconstruct image portions lossless. This paper is proposed to analyze multiple compression techniques based on Region of Interest (ROI). In the diagnosis of retinal images, the significant part is separated out from the rest of the image using improved adaptive fuzzy C means algorithm and Integer multi wavelet transform is applied to enhance the visual quality in significant part. The region of less significance are compressed using SPIHT algorithm and finally modified embedded zero tree wavelet algorithm is applied which uses six symbols was applied whole image then Huffman coding is applied to get the compressed image for transmission. The compressed medical data are transmitted over transmission control protocol (TCP) network. The proposed algorithm would have given better quality, if the images will use ROI compared to that of the other methods. The performance of proposed system had evaluated based on Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR), Normalized Average Error (NAE), Average Difference (AD), Maximum Difference (MD), Mean square error (MSE), Root Mean Square error (RMSE), Signal to Noise Ratio (SNR),Normalized cross correlation (NCC), Structural Content (SC),Encoding and Decoding time. The new compression and transmission algorithm shows a better efficiency for retinal image. The result analyzed using MATLAB and realized in hardware. As a result, the Teleophthalmology is provided the remote patients with a cost-effective access to specialist's eye checkups at primary healthcare clinics, and at the same time, minimize unnecessary face-to-face consultation at the hospital specialist's center. May - July 2013 Copyright © 2013 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2353