Name
Abstract | ||
|---|---|---|
In block discrete cosine transform-based image compression, the blocking artefacts are the main cause of degradation, especially at higher compression ratio. It is of interest to be able to numerically assess the degree of blocking artefacts as it plays an important role in the design, optimisation and assessment of image and video coding systems. In this work, comparison of novel algorithms based on different modelling functions for blocking artefact detection in compressed images is proposed. The authors' experiment results show that for all types of images, the proposed methods detect blocking artefacts more accurately as compared with other post-processing methods/techniques and is very efficient and stable since the signal need not be compressed/decompressed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1049/iet-ipr.2013.0403 | Image Processing, IET |
Keywords | Field | DocType |
discrete cosine transforms,transform coding,video coding,block discrete cosine transform,blocking artefact detection,image assessment,image compression,modelling function,optimisation,transform coded image,video coding system | Computer vision,Block discrete cosine transform,Lapped transform,Pattern recognition,Discrete cosine transform,Transform coding,Coding (social sciences),Compression ratio,Artificial intelligence,Image compression,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 8 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jaspal Singh Saini | 1 | 5 | 4.58 |
| Dilbag Singh | 2 | 67 | 15.16 |
| Uddin, M. | 3 | 0 | 0.34 |