Target Based Image Compression and Quality Assessment

Описание: This is the PhD research work of Kumar Rahul under the supervision of Dr. A.K. Tiwari.

In this work, Saliency enabled compression and feature-based quality assessment method for screen and camera content images were developed. Under low bit rate requirements, JPEG Baseline causes degradation in the perceptual quality at regions with high frequency and thus leads to compression artifacts in the image. The aim of the proposed compression method is to develop a region of interest dependent quantization method in the JPEG framework with small computational overhead. Moreover, in order to accurately identify the performance of the proposed compression methods, two reduced-reference Image-Quality-Assessment (RR-IQA) methods for camera and screen content images are also designed.