Repro: A New Reduction/Expansion Protocol to Increase the Performance of Image Transmission in Medical Telediagnosis Platforms

Abstract

Despite their frequent use in our daily life, the expansion and reduction of images are among the least studied research areas in the literature. That is why the present research paper undertakes the study of the different techniques used for reducing and enlarging images, whose combination will be a new protocol (REPro) for the transmission of medical images. The proposed approach consists in reducing the image when sent and enlarging it when received, which allows for consumption saving of the bandwidth allocated to the diagnostics service. To do so, the performance of our new protocol was tested for the transfer of scars images (color images) and ultrasound images (grayscale images) in terms of the resemblance between the original image, on one hand, and the reduced and then enlarged one, on the other hand.

A Self-Adaptable Distributed CBR Version of the Equivox System

“…For that purpose, the security and robustness of the images transmission becomes a central concerns. Hence, a robust protocol like REPRO [34] including techniques of reduction and expansion of medical images, the saving of bandwidth used for images transmission and also an optimisation of the adaptation of the received images to different types of terminals will have to be integrated.…”

REPro.JPEG: a new image compression approach based on reduction/expansion image and JPEG compression for dermatological medical images

“…This undesirable effect is reduced by the cubic interpolation to cause the appearance of blur (Figure 5(d)) due to the dependence of new pixel values on those of its preserved neighbouring pixels. Finally, the B-Spline transformation seems the most efficient expansion technique by removing the pixilation flaw and by reducing the blur in the enlarged image (Figure 5(e)) [17].…”

“…The given function involves all the original pixels to calculate values of new pixels [27]. The process of the B-Spline transformation is detailed in [17].…”

“…In the literature, several techniques of image sub-sampling are cited such as square-square mesh decimation staggered-square-mesh decimation and square-staggered-square decimation. Previous works [17] proved that square-square mesh decimation insures the best visual image quality. This image reduction method consists in preserving one pixel and removing three pixels from a 2 by 2 pixels bloc.…”

“…The obtained result shows the presence of grate rate of symbol redundancy which facilitates image encoding by several algorithms such as RLE, Shannon and Huffman. As a result, we obtained a compressed image file [17]. We note that the quantisation step has a great impact on the loss or lossless behaviour of the compression scheme.…”