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Fuzzy techniques offer a new and flexible framework for the development of image enhancement algorithms. They are nonlinear, knowledge-based and robust. The potentials of fuzzy set theory for image enhancement are still not investigated in comparison with other established methodologies. In this paper, an examination of fuzzy methods in transform domain is considered. Fuzzy rule based contrast enhancement in the Sequency based Mapped Real Transform (SMRT) domain for block level processing is explored. SMRT, being an integer transform, is computationally efficient and the fuzzy rule based technique is applied to the entire blocks in the transform domain.

Abstract-In this paper texture features based on mapped real transform (MRT) is studied. Redundancy exists in MRT coefficients. Different algorithms have been proposed for removing the redundancy and placing the MRT coefficients. SMRT is a placement scheme based on sequency of the coefficients. The paper presents texture feature extraction based on SMRT placement algorithm. SMRT based texture feature extraction is found to be faster compared to UMRT based method.Index Terms-Texture descriptors, MRT, feature extraction.

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