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

Authors

  • Marwah Kamil Hussien

  • Marwah Kamil Hussien

Keywords:

stereo imaging, stereoscopy, discrete wavelet transform, motion estimation, two dimensional logarithmic

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.

How to Cite

Marwah Kamil Hussien, & 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, 17(H2), 17–22. Retrieved from https://computerresearch.org/index.php/computer/article/view/1534

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

Published

2017-05-15