A modified approach for image compression based on fuzzy transform

In this paper a modified image coding scheme based on discrete fuzzy transform is presented. In this method, the image is partitioned in to subimages of size 16×16, then any compressed subimage is obtained using fuzzy transform and uniform quantization according to the standard deviation of subimage. These subimages are decompressed with the related inverse fuzzy transform and recomposed for the reconstruction of the image. This method allows the user to select regions of interest and to compress each one with different quality factor. A comparison with the fuzzy-based image coding scheme (FTR) and JPEG method is performed. Experimental results show that the proposed method performs better than FTR and JPEG, especially for images with a low and medium level of details.