Image data compression with pdf-adaptive reconstruction of wavelet coefficients

Tilo Strutz; Erika Mueller

doi:10.1117/12.217627

1 September 1995 Image data compression with pdf-adaptive reconstruction of wavelet coefficients

Tilo Strutz, Erika Mueller

Proceedings Volume 2569, Wavelet Applications in Signal and Image Processing III; (1995) https://doi.org/10.1117/12.217627
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

The present contribution proposes a new remarkably efficient image compression algorithm for graylevel images based on dyadic wavelet transformations. In order to achieve perfect reconstruction, orthogonal decomposition is applied. Scalar quantization of wavelet coefficients is combined with run-length coding. Code word assignment is performed by semi- adaptive Huffman coding (determined by validity tables). To improve the reconstruction quality of images a new technique of pdf-adaptive reconstruction of wavelet coefficients is used.

Citation Download Citation

Tilo Strutz and Erika Mueller "Image data compression with pdf-adaptive reconstruction of wavelet coefficients", Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); https://doi.org/10.1117/12.217627

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available