BOOK-CHAPTER

Super-Resolution from Compressed Video

C.A. SegallAggelos K. KatsaggelosRafael MolinaJavier Mateos

Year: 2005 Kluwer Academic Publishers eBooks Pages: 211-242   Publisher: Springer Science+Business Media

Abstract

The problem of recovering a high-resolution frame from a sequence of low-resolution and compressed images is considered. The presence of the compression system complicates the recovery problem, as the operation reduces the amount of frequency aliasing in the low-resolution frames and introduces a non-linear noise process. Increasing the resolution of the decoded frames can still be addressed in a recovery framework though, but the method must also include knowledge of the underlying compression system. Furthermore, improving the spatial resolution of the decoded sequence is no longer the only goal of the recovery algorithm. Instead, the technique is also required to attenuate compression artifacts.

Keywords:
Computer science Computer vision Computer graphics (images)

Metrics

19
Cited By
1.50
FWCI (Field Weighted Citation Impact)
32
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Super-resolution mosaicing from MPEG compressed video

Petra KrämerOfer HadarJenny Benois‐PineauJean‐Philippe Domenger

Journal:   Signal Processing Image Communication Year: 2007 Vol: 22 (10)Pages: 845-865
JOURNAL ARTICLE

Lightweight Video Super-Resolution for Compressed Video

Ilhwan KwonJun LiMukesh Prasad

Journal:   Electronics Year: 2023 Vol: 12 (3)Pages: 660-660
JOURNAL ARTICLE

Robust super resolution of compressed video

Xiaohong ZhangMin TangRuofeng Tong

Journal:   The Visual Computer Year: 2012 Vol: 28 (12)Pages: 1167-1180
JOURNAL ARTICLE

Edge-Oriented Compressed Video Super-Resolution

Zheng WangGuancheng QuanGang He

Journal:   Sensors Year: 2023 Vol: 24 (1)Pages: 170-170
© 2026 ScienceGate Book Chapters — All rights reserved.