This paper is published in Volume-5, Issue-6, 2019
Area
Computer Science Engineering
Author
Shalu Rana, Ramanjot Kaur
Org/Univ
Doaba Institute of Engineering and Technology, Kharar, Punjab, India
Keywords
Artifact, IMAGE Processing, Nearest Neighbor, Medical
Citations
IEEE
Shalu Rana, Ramanjot Kaur. IR based image processing techniques for media applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shalu Rana, Ramanjot Kaur (2019). IR based image processing techniques for media applications. International Journal of Advance Research, Ideas and Innovations in Technology, 5(6) www.IJARIIT.com.
MLA
Shalu Rana, Ramanjot Kaur. "IR based image processing techniques for media applications." International Journal of Advance Research, Ideas and Innovations in Technology 5.6 (2019). www.IJARIIT.com.
Shalu Rana, Ramanjot Kaur. IR based image processing techniques for media applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shalu Rana, Ramanjot Kaur (2019). IR based image processing techniques for media applications. International Journal of Advance Research, Ideas and Innovations in Technology, 5(6) www.IJARIIT.com.
MLA
Shalu Rana, Ramanjot Kaur. "IR based image processing techniques for media applications." International Journal of Advance Research, Ideas and Innovations in Technology 5.6 (2019). www.IJARIIT.com.
Abstract
A compression artifact (or artefact) is a noticeable distortion of media that includes images, audio and video caused by the application of lossy data compression that involves discarding some of the media's data so that it becomes simplified enough to be stored within the desired disk space or be streamed within the bandwidth limitations. At low bit rates, any lossy block-based coding scheme introduces visible artifacts in pixel blocks and at block boundaries. These boundaries can be transforming block boundaries, prediction block boundaries, or both, and may coincide with macroblock boundaries. Because this quantization process is applied individually in each block, neighboring blocks quantize coefficients differently. This leads to discontinuities at the block boundaries. These are most visible in flat areas, where there is little detail to mask the effect.