L
Título: A reduced domain pool based on DCT for a fast fractal image encoding
Autores: Douda, Sofia; Faculté des Sciences et Techniques, Settat
Bagri, Abdallah; Faculté des Sciences et Techniques, Settat
El Imrani, Amer Abdelhakim; Faculté des Sciences Rabat
Fecha: 2011-09-21
Publicador: CVC Press
Fuente: Ver documento
Tipo:
Tema: Coding and compression
Image Analysis and Processing
Descripción: Fractal image compression is time consuming due to the search of the matching between range and domain blocks. In order to improve this compression method, we propose firstly, in this paper, a fast method for reducing the computational complexity of fractal encoding by reducing the size of the domain pool. This reduction is based on the lowest horizontal and vertical DCT coefficients of domain blocks. The experimental results on the test images show that the proposed method reduce the time computation and reach a high speedup factor without decreasing the image quality. Secondly, we combine our method to the AP2D approach which uses two domain pools in two steps of encoding. A more reduction of encoding time is obtained without decreasing the image quality.
Idioma: Inglés
Artículos similares:
Fast 3D-Vision System to Classify Metallic Coins by their Embossed Topography por Hossfeld, Michael,Chu, Weiyi,Adameck, Markus,Eich, Manfred
Facial Emotional Classifier For Natural Interaction por Hupont, Isabelle,Cerezo, Eva,Baldassarri, Sandra
An Adaptive Color Image Segmentation por K.S., Deshmukh,G. N., Shinde
Principal Deformations Modes of Articulated Models for the Analysis of 3D Spine Deformities por Boisvert, Jonathan,Cheriet, Farida,Pennec, Xavier,Labelle, Hubert,Ayache, Nicholas
Human Shape-Motion Analysis In Athletics Videos for Coarse To Fine Action/Activity Recognition Using Transferable Belief Model por Ramasso, Emmanuel,Panagiotakis, Costas,Rombaut, Michèle,Pellerin, Denis,Tziritas, Georgios
Noise reduction on mammographic phantom images por Adel, Mouloud,Zuwala, Daniel,Rasigni, Monique,Bourennane, Salah
Distortion Correction for 3D Scan of Trunk Swaying Human Body Segments por Funatomi, Takuya,Iiyama, Masaaki,Kakusho, Koh,Minoh, Michihiko
10 
Finding Kinematic Structure in Time Series Volume Data por Mukasa, Tomoyuki,Nobuhara, Shohei,Maki, Atsuto,Matsuyama, Takashi