DocumentCode
1875602
Title
Adaptive total variation deringing method for image interpolation
Author
Krylov, Andrey ; Nasonov, Andrey
Author_Institution
Fac. of Comput. Math. & Cybern., Moscow Lomonosov State Univ., Moscow
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
2608
Lastpage
2611
Abstract
This paper presents a new adaptive post-processing algorithm for ringing artifact reduction after image interpolation (up sampling). The algorithm is based on the concept of total variation (TV) for ringing control. It uses known TV of the blocks of the low-resolution image. Conditional gradient, subgradient and projection subgradient methods for this algorithm are considered and analyzed. A test set of 181300 overlapping 11times11 blocks of real images was used for local algorithm optimization and analysis. Local conditional gradient method shows the best objective and subjective results.
Keywords
gradient methods; image resolution; interpolation; adaptive postprocessing algorithm; adaptive total variation deringing; image interpolation; local conditional gradient method; low-resolution image; projection subgradient method; ringing artifact reduction; Algorithm design and analysis; Compression algorithms; Filtering algorithms; Fractals; Image edge detection; Image processing; Interpolation; Mathematics; TV; Transform coding; deringing; image enhancement; image interpolation; total variation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location
San Diego, CA
ISSN
1522-4880
Print_ISBN
978-1-4244-1765-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2008.4712328
Filename
4712328
Link To Document