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Détail de l'auteur
Auteur Jagroop Singh
Documents disponibles écrits par cet auteur
Affiner la rechercheDetection method and filters for blocking effect reduction of highly compressed images / Jagroop Singh in Signal processing. Image communication, Vol. 26 N° 8-9 (Octobre 2011)
[article]
in Signal processing. Image communication > Vol. 26 N° 8-9 (Octobre 2011) . - pp. 493–506
Titre : Detection method and filters for blocking effect reduction of highly compressed images Type de document : texte imprimé Auteurs : Jagroop Singh, Auteur ; Sukhwinder Singh, Auteur ; Dilbag Singh, Auteur Année de publication : 2012 Article en page(s) : pp. 493–506 Note générale : Electronique Langues : Anglais (eng) Mots-clés : Blocking artifacts DCT Image compression MOS PSNR SF Résumé : Image compression plays a pivotal role in minimizing the data size and reduction in transmission costs. Many coding techniques have been developed, but the most effective is the JPEG compression. However, the reconstructed images from JPEG compression produce noticeable image degradations near block boundaries called blocking artifacts, particularly in highly compressed images. A method to detect and reduce these artifacts without smoothing images and without removing perceptual features has been presented in this paper. In this work, a low computational deblocking filter with four modes is proposed, including three frequency-related modes (smooth, non-smooth, and intermediate) and a corner mode for the corner of four blocks. Extensive experiments and comparison with other deblocking methods have been conducted on the basis of PSNR, MSSIM, SF, and MOS to justify the effectiveness of the proposed method. The proposed algorithm keeps the computation lower and achieves better detail preservation and artifact removal performance. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596511000403 [article] Detection method and filters for blocking effect reduction of highly compressed images [texte imprimé] / Jagroop Singh, Auteur ; Sukhwinder Singh, Auteur ; Dilbag Singh, Auteur . - 2012 . - pp. 493–506.
Electronique
Langues : Anglais (eng)
in Signal processing. Image communication > Vol. 26 N° 8-9 (Octobre 2011) . - pp. 493–506
Mots-clés : Blocking artifacts DCT Image compression MOS PSNR SF Résumé : Image compression plays a pivotal role in minimizing the data size and reduction in transmission costs. Many coding techniques have been developed, but the most effective is the JPEG compression. However, the reconstructed images from JPEG compression produce noticeable image degradations near block boundaries called blocking artifacts, particularly in highly compressed images. A method to detect and reduce these artifacts without smoothing images and without removing perceptual features has been presented in this paper. In this work, a low computational deblocking filter with four modes is proposed, including three frequency-related modes (smooth, non-smooth, and intermediate) and a corner mode for the corner of four blocks. Extensive experiments and comparison with other deblocking methods have been conducted on the basis of PSNR, MSSIM, SF, and MOS to justify the effectiveness of the proposed method. The proposed algorithm keeps the computation lower and achieves better detail preservation and artifact removal performance. ISSN : 0923-5965 En ligne : http://www.sciencedirect.com/science/article/pii/S0923596511000403