Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Soliga, Abi
Unknown Affiliation
Computer Science & IT Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
EVALUATING BLIND IMAGE QUALITY USING RBF NEURAL NETWORK Soliga, Abi; Jasil, Godlin
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 1 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Blind Image Quality Assessment (BIQA) methods are the most part feeling mindful. The BIQA method learns regression models from preparing images with human subjective scores to predict the perceptual nature of test images. The general quality of image and the nature of every image patches are measured by normal pooling. By coordinating the components of normal picture measurements got from different signs, we take a multivariate Gaussian model of picture patches from an accumulation of unblemished regular pictures. The proposed radial bias function neural network method is used to evaluate the quality of images and this method represents the structure of picture distortions with flexibility.
Co-Authors Jasil, Godlin