Image coding using the directional ADPCM

Chen-Chang Lien; Chang-Lin Huang; I-Chang Chang

doi:10.1117/12.186593

21 September 1994 Image coding using the directional ADPCM

Chen-Chang Lien, Chang-Lin Huang, I-Chang Chang

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186593
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

This paper proposes a new ADPCM method for image coding called directional ADPCM which can remove more redundancy from the image signals than the conventional ADPCM. The conventional ADPCM calculates the two-dimensional prediction coefficients by using the correlation functions and solving the Yule-Walker equation. Actually, the quantities of correlation functions are replaced by the sample averages. Therefore, this solution will not be optimum. Our directional ADPCM utilizes the directional filters to obtain the energy distribution in four directions and then determines the four directional prediction coefficients. All the directional filters are designed by using the singular value decomposition (SVD) method and the two-dimensional Hilbert transform technique. In the experiments, we illustrate that the M.S.E. for the directional ADPCM is less than that of the conventional ADPCM.

Citation Download Citation

Chen-Chang Lien, Chang-Lin Huang, and I-Chang Chang "Image coding using the directional ADPCM", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186593

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