Earticle

초록

영어

An effecting compression algorithm removes the redundancy of image signal, when we want to represent high quality videos and images with lower bit rate. Removal of statistical correlation and insignificant components of image signal make the corresponding videos and images highly compressed. This paper represents a new algorithm to measure the blocking artifacts of videos by analyzing the distortions of local properties of image signals like dominant edge magnitude and direction. We also want to incorporate light weighted human vision measurement system like edge information to measure video artifacts in real time. Then simple bucket filling approach is applied, where the particular bucket contains the maximum value also indicating the block boundaries that are passed to the report module. After computing distortion measure a proposed detection approach is used to capture the distorted frames. Extensive experiments on various videos show that the new algorithm is very much efficient and faster to measure the independent lossy compressed block errors in real time video error detection applications.

목차

Abstract
 1. Introduction
 2. Proposed Blockiness Metric to Detect Video Artifacts
  2.1. Blind Measurement Approach
  2.2. Edge Enhancement Filtering
  2.3. Generate Blockiness Metric
 3. Experimental Result
  3.1. Experiments on JPEG Images
  3.2. Experiments on MPEG-2 Video Frames
 4. Conclusion and Future Work
 Acknowledgement
 References

키워드

저자

• Md. Mehedi Hasan [ Image Processing Lab, Department of Computer Engineering, Kyung Hee University ]
• Oksam Chae [ Image Processing Lab, Department of Computer Engineering, Kyung Hee University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605