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Proceedings Paper

Block based image compression technique using rank reduction and wavelet difference reduction
Author(s): Anastasia Bolotnikova; Pejman Rasti; Andres Traumann; Iiris Lusi; Morteza Daneshmand; Fatemeh Noroozi; Kadri Samuel; Suman Sarkar; Gholamreza Anbarjafari
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Paper Abstract

In this paper a new block based lossy image compression technique which is using rank reduction of the image and wavelet difference reduction (WDR) technique, is proposed. Rank reduction is obtained by applying singular value decomposition (SVD). The input image is divided into blocks of equal sizes after which quantization by SVD is carried out on each block followed by WDR technique. Reconstruction is carried out by decompressing each blocks bit streams and then merging all of them to obtain the decompressed image. The visual and quantitative experimental results of the proposed image compression technique are shown and also compared with those of the WDR technique and JPEG2000. From the results of the comparison, the proposed image compression technique outperforms the WDR and JPEG2000 techniques.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 981702 (9 December 2015); doi: 10.1117/12.2227994
Show Author Affiliations
Anastasia Bolotnikova, Univ. of Tartu (Estonia)
Pejman Rasti, Univ. of Tartu (Estonia)
Andres Traumann, Univ. of Tartu (Estonia)
Iiris Lusi, Univ. of Tartu (Estonia)
Morteza Daneshmand, Univ. of Tartu (Estonia)
Fatemeh Noroozi, Univ. of Tartu (Estonia)
Kadri Samuel, Univ. of Tartu (Estonia)
Suman Sarkar, Univ. of Tartu (Estonia)
Gholamreza Anbarjafari, Univ. of Tartu (Estonia)


Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)

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