Publications

Abstract : In this paper, texture and illumination improvements for the poorly acquired images are suggested with the proper restoration of images by employing content-dependent decomposition. Being a non-stationary and non-linear two-dimensional digitized signal, any image can be intrinsically decomposed according to its content and hence, content (or behavior) dependent 2-D intrinsic mode functions (2-D IMFs) can be obtained for their individual processing which collectively results into a highly efficient data restoration from the poorly acquired images. In other words, both texture and illumination based improvements can be efficiently entangled in joint space-spatial-frequency domain. Higher mode augmentation, when employed with gamma, corrected illumination boosting in an image-driven and adaptive manner leads to overall quality improvement of the textured data present in the images. In order to validate the necessity of the proposal, a rigorous experimentation is executed by employing the performance evaluation through standard quality measures and comparison with pre-existing recently proposed and highly appreciated quality enhancement approaches.