Document Type : Research Paper

Author

University of Anbar-College of Computer

10.37652/juaps.2008.15443

Abstract

This paper describes a new lossy image compression decompression algorithm. In lossy compression techniques there are some loss of information, and image cannot be reconstructed exactly.This algorithm will be referred to as (IWDC), which stands for integer wavelet (IWT) and discrete cosine transform (DCT) and this algorithm improves existing techniques and develops new image compressors.(IWDC) is efficient than corresponding DCT and wavelet transform functions and incorporating DCT and integer wavelet transform are shown to improve the performance of the DCT and integer wavelet (IWT). In the new proposed compression is more efficient than the still image compression methods.

Keywords

Main Subjects

[1]. David Bethel,”Optimization of Still Image Compression Techniques”.
      PHD Thesis, 1997, University of path.
[2]. Nelson, Mark. ”The Data Compression Book” .P. 347-373/M&T Publishing 1991.
[3]. Scott E Umbaugh. ” Computer   Vision and Image Processing”, Prentice Hall NJ, 1998.
[4]. David Salmon, ”Data Compression ”. The Couplet Reference Prentice          Hall,    Third Edition-2003.
[5]. Eric E Majani,” Algorithm for Lossy /Progressive Loss less Image Compression”, NASA Tech. Brief Vol. -21.NO.12, Item # 146, Dec 1997.
[6]. Panrong Xiao. ”Image Compression   by Wavelet Transform”. Master Thesis, August 2001, East  Tennessee State University.
 [7] K. Sayood, “Introduction to ta ompression”, Second edition,    Academic Press, 2000.
[8] C.S Burrus R.A. Gopinath, and H. Guo. “Introduction to Wavelets     and Wavelet Transforms”, Englewood Cliffs, NJ: Prentice Hall, 1998.
[9] H. GU, “Image Compression Using the Haar Wavelet Transform”, Master's Thesis, East Tennessee State University, 2000.
 [10] G. Strang, “The Discrete Cosine Transform”, Society for Industrial and Applied Mathematics, 1999.
[11] P. Morton and A. Petersen, “Image Compression Using the Haar Wavelet Transform”, College of the Redwoods, 1997.