DocumentCode
2288295
Title
Integer division for quantization of wavelet-transformed images, using field programmable gate arrays
Author
Turri, William F. ; Smari, Waleed W. ; Scarpino, Frank A.
Author_Institution
Dept. of Electr. & Comput. Eng., Dayton Univ., OH, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
176
Abstract
Integer-based wavelet transforms present advantages in image compression such as computational speed, simplicity, and reconstructed image quality. The nature of wavelet decomposition allows high compression ratios to be achieved through efficient methods of encoding. The work presented here describes an efficient hardware implementation of a simple integer-division algorithm for the quantization of image data using FPGAs. In addition, this paper presents an overview of the use of wavelet analysis and wavelet transforms, specifically the Haar wavelet transform, in real-time image compression
Keywords
Haar transforms; data compression; field programmable gate arrays; image coding; quantisation (signal); real-time systems; wavelet transforms; FPGAs; Haar wavelet transform; efficient hardware implementation; encoding; high compression ratios; image data quantization; integer-based wavelet transforms; integer-division algorithm; real-time image compression; reconstructed image quality; wavelet analysis; wavelet decomposition; Field programmable gate arrays; Filters; Hardware; Image coding; Image storage; Quantization; Transform coding; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2001. MWSCAS 2001. Proceedings of the 44th IEEE 2001 Midwest Symposium on
Conference_Location
Dayton, OH
Print_ISBN
0-7803-7150-X
Type
conf
DOI
10.1109/MWSCAS.2001.986143
Filename
986143
Link To Document