General construction of wavelet filters via a lifting scheme and its application in image coding

2003 ◽  
Vol 42 (7) ◽  
pp. 1949 ◽  
Author(s):  
Lizhi Cheng
Keyword(s):  
Image Coding ◽  
Lifting Scheme ◽  
General Construction ◽  
Wavelet Filters

A Lifting Scheme of Symmetric-antisymmetric Multiwavelet Transform for Image Coding

2012 ◽  
Vol 31 (5) ◽  
pp. 1887-1900 ◽  
Author(s):  
Jiazhong Chen ◽  
Zengwei Ju ◽  
Hua Cao ◽  
Ping Xie ◽  
Changnian Chen ◽  
...  
Keyword(s):  
Image Coding ◽  
Lifting Scheme ◽  
Multiwavelet Transform

Cultural evolutionary design of adaptive wavelet filters based on lifting scheme for micro-instruments

Measurement ◽  
2010 ◽  
Vol 43 (7) ◽  
pp. 966-974 ◽  
Author(s):  
Pasquale Arpaia ◽  
Carlo Manna ◽  
Carmine Romanucci ◽  
Antonio Zanesco
Keyword(s):  
Lifting Scheme ◽  
Evolutionary Design ◽  
Adaptive Wavelet ◽  
Wavelet Filters ◽  
Cultural Evolutionary

scholarly journals DESIGN OF BIORTHOGONAL WAVELET FILTERS USING DYADIC LIFTING SCHEME

10.5109/12595 ◽  
2005 ◽  
Vol 37 ◽  
pp. 123-136 ◽  
Author(s):  
Turghunjan Abdukirim ◽  
Koichi Niijima ◽  
Shigeru Takano
Keyword(s):  
Lifting Scheme ◽  
Biorthogonal Wavelet ◽  
Wavelet Filters

An Iterative Lifting Scheme on DCT Coefficients for Image Coding

2015 ◽  
Vol 3 (4) ◽  
pp. 317-319
Author(s):  
K. Sowmithri
Keyword(s):  
Image Coding ◽  
Signal To Noise Ratio ◽  
Image Data ◽  
Lifting Scheme ◽  
Discrete Wavelet ◽  
Jpeg 2000 ◽  
Scalar Quantization ◽  
Coding Schemes ◽  
Level Information ◽  
Dct Coefficients

Image coding is considered to be more effective, as it reduces number of bits required to store and/or to transmit image data. Transform based image coders play a significant role as they decorrelate the spatial low level information. It is found utilization in International compression standards such as JPEG, JPEG 2000, MPEG and H264. The choice of transform is an important issue in all these transforms coding schemes. Most of the literature suggests either Discrete Cosine Transform (DCT) or Discrete Wavelet Transform (DWT). In this proposed work, the energy preservation of DCT coefficients is analysed, and to down sample these coefficients, lifting scheme is iteratively applied so as to compensate the artifacts that appear in the reconstructed picture, and to yield the higher compression ratio. This is followed by scalar quantization and entropy coding, as in JPEG. The performance of the proposed iterative lifting scheme, employed on decorrelated DCT coefficients is measured with standard Peak Signal to Noise Ratio (PSNR) and the results are encouraging.

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