Open AccessAnalysis of image quality metric for ROI using image restoration techniques
Author(s) -
Syed Amma Sheik
Publication year - 2014
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v3i2.2359
Subject(s) - computer vision , artificial intelligence , deconvolution , computer science , image quality , wiener deconvolution , region of interest , wiener filter , image restoration , point spread function , image processing , blind deconvolution , image (mathematics) , metric (unit) , algorithm , engineering , operations management
Analysis of an image plays vital role in the image processing field, which leads to the inventions of applications in the area of telemedicine, remote sensing via satellites and other spacecrafts, radar, sonar and acoustic image processing etc. This concept is a key factor in research field. One of the common image analysis is use of Region of Interest (ROI) image, which is an effortless way of analyzing images. This paper proposes a method to analyze the Image Quality Metric (IQM) for a ROI based color image. IQM is accomplished by the use of the three image restoration algorithms such as Blind deconvolution algorithm, Wiener Filtering algorithm and Lucy Richardson algorithm. Keywords: Blind Deconvolution, Lucy Richardson, Point Spread Function, Region of Interest, Image Quality Metric, Wiener Filter.