Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : A BLIND IMAGE QUALITY ANNOTATION USING GAUSSIAN BLUR
Volume 03 Issue 07 2016
ISSN no: 2348-3121
Page no: 165-169
Abstract – Blind image quality assessment (BIQA) techniques are mostly opinion-aware that learn regression methods from training images with associated human subjective scores to predict perceptual quality of test image. But it requires large number of samples and numerous distortion types. The complexity of the process also increased when assessment is done in spatial domain. To surmount the shortcomings, the proposed system accomplishes the assessment in frequency domain to reduce pixel by pixel compilation time. And variety of distortions can be detached by using the Gaussian blur. This method has shown the satellite image in TIF file format of 253*252 dimensions with 72 dpi resolutions. Different performance measures such as ISNR, BSNR, Co-variance, Weighted co-variance and Entropy are analyzed with different iterations. The simulation is done in MATLAB r2013a image processing tool and the improved performance metrics are tabulated.
Keywords— Blind image , Degradation, Gaussian blur
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