Fast Stereo Images Compression Method based on Wavelet Transform and Two Dimensional Logarithmic (TDL) Algorithm

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Fast Stereo Images Compression Method based on Wavelet Transform and Two Dimensional Logarithmic (TDL) Algorithm

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Abstract

In this paper, a fast stereo images compression method has been proposed. In proposed method, Firstly, stereo images were transformed using Discrete Wavelet Transform (DWT) in order to reduce computation time. The disparities between these images were estimated by Two Dimensional Logarithmic (TDL) algorithm. The result of the Motion Vector (MV) was encoded into a bit stream by Huffman encoding while the remaining part is compressed like the compression that is used in still image. The proposed method produced good results in terms of Peak Signal-to-Noise Ratio (PSNR), CR, and computation time.

References

1 Cites in Article
  1. W Beil,I Carlsen (2010). Surface reconstruction from stereoscopy and “shape from shading” in SEM images.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Marwah Kamil Hussien. 2017. "Fast Stereo Images Compression Method based on Wavelet Transform and Two Dimensional Logarithmic (TDL) Algorithm". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H2).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-H Classification E.4
I.4.2
I.4.8
Version of record

v1.2

Issue date
May 24, 2017

Language
English
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Fast Stereo Images Compression Method based on Wavelet Transform and Two Dimensional Logarithmic (TDL) Algorithm

Marwah Hussien
Marwah Hussien University of Basrah, Basrah, IRAQ.
Marwah Hussien
Marwah Hussien