Visushrink Pretreatment for Image Compression
نویسندگان
چکیده
In this paper we present a new method based on wavelet thresholding denoise for 2D image compression. The image blocks to be compressed are classified before presenting them to Fuzzy C Means clustering and Kohonen‟s network. We will compare performances of two methods, one compressed with FCM clustering methods [24] and another compressed with incremental self organizing map (ISOM) [27]. The results show that the wavelet thresholding denoise approach succeeded to improve high performances in terms of compression ratio and reconstruction quality. We noted that, when we apply an image pre-treatment for the original image to be compressed by FCM and by ISOM, the reconstructed image is better. General Terms Algorithms, Performance, Design.
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