1University of Tartu (University of Tartu, Ülikooli 18, 50090 TARTU - Estonie)
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.
https://hal.univ-angers.fr/hal-02527962 Contributeur : Okina Univ AngersConnectez-vous pour contacter le contributeur Soumis le : mardi 24 août 2021 - 15:58:01 Dernière modification le : jeudi 26 août 2021 - 10:40:13 Archivage à long terme le : : vendredi 26 novembre 2021 - 09:22:06
Anastasia Bolotnikova, Pejman Rasti, Andres Traumann, Iiris Lüsi, Morteza Daneshmand, et al.. Block based image compression technique using rank reduction and wavelet difference reduction. Seventh International Conference on Graphic and Image ProcessingSeventh International Conference on Graphic and Image Processing (ICGIP 2015), 2015, Singapour, Singapore. ⟨10.1117/12.2227994⟩. ⟨hal-02527962⟩