DCT Domain Detail Image Enhancement for More Resolved Images

Abstract

This paper develops a detail image signal enhancement that makes images perceived as being clearer and more resolved and so more effective for higher resolution displays. We observe that the local variant signal enhancement makes images more vivid, and the more revealed granular signals harmonically embedded on the local variant signals make images more resolved. Based on this observation, we develop a method that not only emphasizes the local variant signals by scaling up the frequency energy in accordance with human visual perception, but also strengthens the granular signals by embedding the alpha-rooting enhanced frequency components. The proposed energy scaling method emphasizes the detail signals in texture images and rarely boosts noisy signals in plain images. In addition, to avoid the local ringing artifact, the proposed method adjusts the enhancement direction to be parallel to the underlying image signal direction. It was verified through subjective and objective quality evaluations that the developed method makes images perceived as clearer and highly resolved.

Advancements In Multi-Modality Medical Image Fusion: A Comprehensive Review

“…The method mentioned that DCT transform methods can be used for improving contrast in any type of illuminations and also defined various performance measures. The DCT-based image enhancement method is presented in [17] and [18], respectively. Various advantages and drawbacks of block-based fusion are given in [19].…”