Fuzzy contrast enhancement for images in the compressed domain

Our objective is to investigate image processing directly in the compressed domain, without full decompression. Compressed domain image processing algorithms provide a powerful computational alternative to classical (pixel level) based implementations. The field is just emerging and the algorithms reported in the literature are mostly based on linear arithmetic operations between pixels. In this paper, the problem of implementing a nonlinear operator, using compressed domain processing is addressed. A new algorithm for digital image enhancement, using fuzzy theory, adapted to the frequency content of each coefficient block in the DCT (Discrete Cosine Transform) encoded JPEG image is developed and proposed.