No reference image quality assessment metric based on regional mutual information among images

Abstract

With the inclusion of camera in daily life, an automatic no reference image quality evaluation index is required for automatic classification of images. The present manuscripts proposes a new No Reference Regional Mutual Information based technique for evaluating the quality of an image. We use regional mutual information on subsets of the complete image. Proposed technique is tested on four benchmark natural image databases, and one benchmark synthetic database. A comparative analysis with classical and state-of-art methods indicate superiority of the present technique for high quality images and comparable for other images of the respective databases.

A new blind image conversion complexity metric for intelligent CMOS image sensors

“…The number of successive zeros (j) in this case is equal to (2 n − 1) and appear one time (Z j = 1), as illustrated in the SZH in Figure 4(b). So, the maximum CCM index value can be calculated using Equation (1) as…”

“…Today, a huge number of people carry mobile phones that have built-in cameras. Millions of images are captured every minute by these cameras, and this number is increasing yearly [1]. Hence, the image sensor and camera markets are huge and very competitive.…”