An Effectual Methodology to Objective Quality Assessment for Noisy and Compressed Images Using Full and Blind Reference Quality Metrics
M. Ravichandran, T. Jerry Alexander, B. S. Sathish, L. M. I. Leo Joseph, Packyanathan Ganesan, G. Sajiv · 2023
The proposed work elucidates the role of metrics to decide the superiority of noisy and compressed images. The metrics approximate the superiority of degraded image (noisy or compressed) with or without the reference images. The computed numerical value based on this comparison finalizes the excellence of the image under test. The degradation in any stage of image processing (acquisition, transmission and reception) deteriorates the eminence of an image. It is challenging to understand the source and reason for low quality of the image. The suggested work analyzes the quality of salt and pepper noisy image and compressed image using blind and complete reference metrics. The analysis using full reference metrics is an unpretentious process. However, they do not related to human perception. In contrast, blind quality metrics demonstrated its hegemony in this facet.