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This paper presents a new approach for contrast enhancement of spinal cordmedical images based on multirate scheme incorporated into multiscale retinexalgorithm. The proposed work here uses HSV color space, since HSV color spaceseparates color details from intensity. The enhancement of medical image isachieved by down sampling the original image into five versions, namely, tiny,small, medium, fine, and normal scale. This is due to the fact that the eachversions of the image when independently enhanced and reconstructed results inenormous improvement in the visual quality. Further, the contrast stretchingand MultiScale Retinex (MSR) techniques are exploited in order to enhance eachof the scaled version of the image. Finally, the enhanced image is obtained bycombining each of these scales in an efficient way to obtain the compositeenhanced image. The efficiency of the proposed algorithm is validated by usinga wavelet energy metric in the wavelet domain. Reconstructed image usingproposed method highlights the details (edges and tissues), reduces image noise(Gaussian and Speckle) and improves the overall contrast. The proposedalgorithm also enhances sharp edges of the tissue surrounding the spinal cordregions which is useful for diagnosis of spinal cord lesions. Elaboratedexperiments are conducted on several medical images and results presented showthat the enhanced medical pictures are of good quality and is found to bebetter compared with other researcher methods.

An Improved Approach for Contrast Enhancement of Spinal Cord Images based on Multiscale Retinex Algorithm