Enhanced Three-Dimensional Color Conversion Based on Discrete Wavelet Transform

He Yan; Xiu Feng Wang

doi:10.4028/www.scientific.net/AMM.155-156.440

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 155-156Enhanced Three-Dimensional Color Conversion Based...

Enhanced Three-Dimensional Color Conversion Based on Discrete Wavelet Transform

Abstract:

JPEG2000 algorithm has been developed based on the DWT techniques, which have shown how the results achieved in different areas in information technology can be applied to enhance the performance. Lossy image compression algorithms sacrifice perfect image reconstruction in favor of decreased storage requirements. Wavelets have become a popular technology for information redistribution for high-performance image compression algorithms. Lossy compression algorithms sacrifice perfect image reconstruction in favor of improved compression rates while minimizing image quality lossy.

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Periodical:

Applied Mechanics and Materials (Volumes 155-156)

Pages:

440-444

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.155-156.440

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Online since:

February 2012

Authors:

He Yan, Xiu Feng Wang

Keywords:

Discrete Wavelet Transform (DWT), Image Compression Algorithm, Three-Dimensional Transformation

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References

[1] Michael Ray Peterson: Evolutionary Methodology for Optimization of ImageTransforms Subject to Quantization Noise[D], Department of Computer Science and Engineering, Wright State University, (2008).

Google Scholar

[2] W. Sweldens, The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets, ', Applied and Computational Harmonic Analysis, Vol. 3, NO. 15, pp.186-200, (1996).

DOI: 10.1006/acha.1996.0015

Google Scholar

[3] I. Daubechies and W. Sweldens, Factoring Wavelet Transforms into Lifting Schemes, The J. of Fourier Analysis and Applications, Vol. 4, pp.247-269, (1998).

DOI: 10.1007/bf02476026

Google Scholar

[4] JPEG2000 Final Committee Draft (FCD), JPEG2000 Committee Drafts, " The JPEG 2000 Image Coding Standard|Dr Dobb, s Journal[M] http: /www. jpeg. org/CDs15444. htm.

Google Scholar

[5] Ping-Sing Tsai: JPEG2000 Standard for Image Compression Concepts, Algorithms and VLSI Architectures, [M] A JOHN WILEY & SONS, INC., PUBLICATION (2005).

DOI: 10.1002/0471653748.ch9

Google Scholar

[6] Tuan Duong, Vu Duong, and Allen Stubberud: Object Recognition Using Feature-and Color-Based Methods, NASA Tech Briefs. Vol 10, 32-33(2008).

Google Scholar