Motion-compensated transform coding technique employing subband decomposition

Hoon Paek; Rin Chul Kim; Sang Uk Lee

doi:10.1117/12.131443

1 November 1992 Motion-compensated transform coding technique employing subband decomposition

Hoon Paek, Rin Chul Kim, Sang Uk Lee

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131443
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

In this paper, by combining the motion compensated transform coding with the sub-band decomposition technique, we present a motion compensated sub-band coding technique (MCSBC) for image sequence coding. Also, several problems related to the MCSBC, such as a scheme for motion compensation in each sub-band, the optimal bit rate allocation to each sub-band, and the efficient VWL coding of the DCT coefficients in each sub-band, are discussed. For an efficient coding, the motion estimation and compensation is performed only on the LL sub-band, but the discrete cosine transform (DCT) is employed to encode all sub- bands in our approach. Then, the transform coefficients in each sub-band are scanned in a different manner depending on the energy distributions in the DCT domain, and coded by using the separate 2-D Huffman code tables, which are optimized to the probability distributions of each sub-band. The performance of the proposed MCSBC technique is intensively examined by computer simulations on the HDTV image sequences. The simulation results reveal that the proposed MCSBC technique outperforms the other coding techniques, especially the well-known motion compensated transform coding technique by about 1.5 dB in terms of the average peak signal to noise ratio.

Citation Download Citation

Hoon Paek, Rin Chul Kim, and Sang Uk Lee "Motion-compensated transform coding technique employing subband decomposition", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131443

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