Paper Info
Title
Improved SPIHT Algorithm.
Abstract
An improved SPIHT algorithm that combines the SPIHT and the subbands threshold calculation to reduce the number of comparison operations, without sacrificing the reconstructed image quality, is proposed. After applying discrete wavelet transform to the image, the threshold of each independent subband is calculated. The scanning of the sets inside a subband is determined by the magnitude of the thresholds that establish a hierarchical scanning not only for the set of coefficients with large magnitude, but also, for the subbands. The proposed algorithm uses the set partitioning technique to sort the transformed coefficients. Results show that the proposed algorithm significantly reduces the number of comparison operations in the sorting passes while maintaining the visual quality and PSNR of the recovered image.
Year
DOI
Venue
2014
10.1109/SITIS.2014.23
SITIS
Keywords
Field
DocType
visualization,sorting,psnr
Computer vision,Set partitioning in hierarchical trees,Pattern recognition,Computer science,sort,Image quality,Transform coding,Image processing,Sorting,Artificial intelligence,Discrete wavelet transform,Stationary wavelet transform
Conference
Citations 
PageRank 
References 
0
0.34
11
Authors
3
Name
Order
Citations
PageRank
Humberto de Jesús Ochoa Domínguez1234.82
Vianey Guadalupe Cruz Sánchez2277.24
Osslan Vergara3152.54