Performance Evaluation of Wavelet Filters for Compression of Retinal Images
نویسندگان
چکیده
In this paper, a comparative study of a set of wavelet filters used for wavelet based retinal image compression system has been made. The performance of different wavelet filters is observed by decomposing the retinal image to various levels for a given compression ratio. The visual quality of the reconstructed retinal image is observed at each decomposition level. The statistical measures such as the peak signal to noise ratio (PSNR), laplacian mean squared error (LMSE) and structural similarity (SSIM) index are used to quantify the effect of wavelet filters. The subjective evaluation is also done by examining the quality of reconstructed image. The optimum decomposition level and a best suited wavelet filter for the compression of a set of retinal images can be chosen from the results presented in the paper.
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