• Sushilkumar N. Holambe

Nowadays image quality assessment is a very important methodology in image processing applications. Image quality assessment is a process of evaluating the quality of an image and in recent years, the goal is to evaluate the image quality without the human subjective scores; therefore the accurate assessment of the image quality is necessary. Many image processing applications evaluates the quality of the image with the human opinions, whereas the main purpose of image quality assessment (IQA) method is to automate this image quality evaluation with human quality perception. This paper presents the methodology used in blind image quality assessment (BIQA) method-ILNIQE. It provides the automatic image quality scores without any requirement of reference images. An important aim behind the study of the blind image quality assessment (IQA) problem is to develop perceptual model that can be able to predict the quality of distorted images with prior knowledge of the images or their distortions.

completely blind, no reference, image quality assessment, multivariate Gaussian

"Image Quality Evaluation Using Gradient Statistics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 2, page no.275-278, February-2018, Available :http://www.jetir.org/papers/JETIR1802342.pdf

"Image Quality Evaluation Using Gradient Statistics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 2, page no. pp275-278, February-2018, Available at : http://www.jetir.org/papers/JETIR1802342.pdf