Abstract

In today’s world of technological advancement higher data rate and data transmission with minimal memory\nrequirement is gaining importance. At the same time it also important to preserve quality of data to be transferred from\nvarious types of distortions and to assess the quality at the receiving end. Hence perceptual image quality assessment is\nbecoming more popular. This paper introduces a new approach in domain of no reference image quality assessment of jpeg\ncompressed images using spatial features .Considering the fact that pixel distortion, blurring and edge information are\nimportant aspects as far as distortions are concern. A novel approach is presented in this paper to address the distortion\ncategories. The results are obtained in conjunction with the subjective image quality assessment of train and test image\ncategories. Also results are compared with full reference image quality assessment technique and parameters of full reference\nquality assessment. To achieve better accuracy algorithm is tested on LIVE Texas’ image database and our own developed\ndatabase. Results are found to be well correlating to the various parameters considered for the comparison purpose.