Open AccessRGB Medical Video Compression Using Geometric Wavelet
Author(s) -
Yassine Habchi,
Mohammed Beladgham,
Taleb Ahmed Abdelmalik
Publication year - 2016
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v6i4.pp1627-1636
Subject(s) - computer science , artificial intelligence , computer vision , quadtree , wavelet transform , discrete wavelet transform , diagonal , classification of discontinuities , set partitioning in hierarchical trees , wavelet , data compression , image compression , algorithm , pattern recognition (psychology) , mathematics , image (mathematics) , image processing , geometry , mathematical analysis
The video compression is used in a wide of applications from medical domain especially in telemedicine. Compared to the classical transforms, wavelet transform has significantly better performance in horizontal, vertical and diagonal directions. Therefore, this transform introduces high discontinuities in complex geometrics. However, to detect complex geometrics is one key challenge for the high efficient compression. In order to capture anisotropic regularity along various curves a new efficient and precise transform termed by bandelet basis, based on DWT, quadtree decomposition and optical flow is proposed in this paper. To encode significant coefficients we use efficient coder SPIHT. The experimental results show that the proposed algorithm DBT-SPIHT for low bit rate (0.3Mbps) is able to reduce up to 37.19% and 28.20% of the complex geometrics detection compared to the DWT-SPIHT and DCuT-SPIHT algorithm.