Image Quality Meter Using Compression

Muhammad Ibrar -ul-Haque; Hassam-ul- Hasan; Muhammad Irfan Anis

doi:10.22581/muet1982.1601.02

Muhammad Ibrar -ul-Haque Assistant Professor, Department of Electrical Engineering, Sir Syed University of Engineering & Technology, Karachi.
Hassam-ul- Hasan Department of Electronic Engineering, Iqra University, Defence View, Shaheed-e-Millat Road, Karachi.
Muhammad Irfan Anis Department of Electronic Engineering, Iqra University, Defence View, Shaheed-e-Millat Road, Karachi.

DOI: https://doi.org/10.22581/muet1982.1601.02

Abstract

This paper proposed a new technique to compressed image blockiness/blurriness in frequency domain through edge detection method by applying Fourier transform. In image processing, boundaries are characterized by edges and thus, edges are the problems of fundamental importance. The edges have to be identified and computed thoroughly in order to retrieve the complete illustration of the image. Our novel edge detection scheme for blockiness and blurriness shows improvement of 60 and 100 blocks for high frequency components respectively than any other detection technique.