Image Compression Methodology Based on Fuzzy Transform

The main objective of our work is to develop an effective algorithm for image compression. We use both lossy and non-lossy compression to achieve best result. Our compression technique is based on the direct and inverse fuzzy transform (F-transform), which is modified to work with dynamical fuzzy partition. The essential features of the proposed algorithm are: extracting edges, automatic thresholding, histogram adjustment. The article provides a comparison of our algorithm with the image compression algorithm (JPEG) and other existing algorithms [1, 7] based on fuzzy transform.