Towards No-Reference of Peak Signal to Noise Ratio
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 1
Abstract
The aim of this work is to define a no-referenced perceptual image quality estimator applying the perceptual concepts of the Chromatic Induction Model The approach consists in comparing the received image, presumably degraded, against the perceptual versions (different distances) of this image degraded by means of a Model of Chromatic Induction, which uses some of the human visual system properties. Also we compare our model with an original estimator in image quality assessment, PSNR. Results are highly correlated with the ones obtained by PSNR for image (99.32% Lenna and 96.95% for image Baboon), but this proposal does not need an original image or a reference one in order to give an estimation of the quality of the degraded image.
Authors and Affiliations
Jaime Moreno , Beatriz Jaime , Salvador Saucedo
Keywords
Related Articles
- EP ID EP146073
- DOI 10.14569/IJACSA.2013.040119
- Views 120
- Downloads 0
Comparative Performance Analysis of RPL for Low Power and Lossy Networks based on Different Objective Functions
The Internet of Things (IoT) is an extensive network between people-people, people-things and things-things. With the overgrown opportunities, then it also comes with a lot of challenges proportional to the number of con...
Designing an IMS-LD Model for Collaborative Learning
The context of this work is that of designing an IMS-LD model for collaborative learning. Our work is specifically in the field or seeking to promote, by means of information technology from a distance, a collective know...
Architecture Aware Programming on Multi-Core Systems
In order to improve the processor performance, the response of the industry has been to increase the number of cores on the die. One salient feature of multi-core architectures is that they have a varying degree of shar...
Software Migration Frameworks for Software System Solutions: A Systematic Literature Review
This study examines and review the current software migration frameworks. With the quick technological enhancement, companies need to move their software’s from one platform to another platform like cloud-based migration...
Annotations, Collaborative Tagging, and Searching Mathematics in E-Learning
This paper presents a new framework for adding semantics into e-learning system. The proposed approach relies on two principles. The first principle is the automatic addition of semantic information when creating t...