Aree A. Mhammad

1 College of Science, University of Sulaimani, 2 College of Science, University of Baghdad

DOI: https://doi.org/10.17656/jzs.10180

Abstract

Image compression is now essential for applications such as transmission and storage in data bases.

This paper proposes a new scheme for image compression; this new method involves two steps. First, we

use a lifting scheme wavelet-based transform. Second, we develop a modified entropy coding algorithm. We

show how block subband coding leads to increase the compression factor with preserving the quality. The

main objective of this work is to encode the intra-frame in a video sequences.

Keywords: Anger Frame Compression Color Transformation Lifting Scheme

Adaptive- Quantization Optimized Shift Coding Quality Measurement

Compression Factor

Reference 

1-    A. Hanjalic, ”Shot-Boundary Detection: Unraveled and Resolved”, IEEE Transactions on Circuits and Systems for Video Technology, 2002, 1(2), 99-103.

2-    Digital Compression and Coding of Continuous Tone Still Images, ISO/IEC IS 10918, 2001.

3-    C. Gonzalez, E. Woods, and L. Eddins, “Digital image processing using Matlab”, Prentice Hall, 3rd edition, 2004, Ch(7), 243-281.

4-    G. Sonja and G. Mislav,“Performance Analysis of Image Compression Using Wavelets”. IEEE Transaction on Industrial Electronics, 2001, 48 (3), 543-549.

5-    R. Srivastava, “Performance analysis of a wavelet based image codec with and without lifting scheme”. Proceeding (364) Visualization, Imaging, and Image Processing, 2003.  

6-    Z. Xiang, K. Ramchandran, M. T. Orchard, and Y. Q. Zhang, “A comparative study of DCT- and wavelet-based image coding,” IEEE Trans. Circuits Syst. Video Technol., 1999, 9(1), 692–695.

7-    R. Ohm, M. Schaar, and J. Woods, “Interframe wavelet coding-motion picture representation for universal scalability”, Signal Processing: Image Communication, 2004,19(1), 877–908. 

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