Two Channel Image Coding Scheme

Diego P. de Garrido; Paulo Roberto R. L. Nunes; Jacques Szczupak

doi:10.1117/12.970113

1 November 1989 Two Channel Image Coding Scheme

Diego P. de Garrido, Paulo Roberto R. L. Nunes, Jacques Szczupak

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970113
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

In this paper we present a two channel image compression technique which allows good compression rates and image quality. The technique consists in splitting the image into two parts: a low-pass one, which represents the general area brightness without sharp contours, and the high-pass part containing mainly sharp edge information. This decomposition into low and high-frequency components was first presented in the so called Synthetic High System. The Synthetic Highs System exploits elegantly the properties of the visual system and consists in detecting and coding edges separately from low frequency components. The method proposed here follows the general idea of the Synthetic Highs System, though there is no edge-detection involved. Most of the contribution of our scheme relates to the way the two frequency bands are coded: transform coding for the low-pass part and vector quantization for the high-pass one. The system was tested using several monochromatic images with sizes 256 x 256 and 512 x 512; good results were obtained in terms of visual quality and peak signal-to-noise ratio. Blocking effects were not observed for the images tested.

Citation Download Citation

Diego P. de Garrido, Paulo Roberto R. L. Nunes, and Jacques Szczupak "Two Channel Image Coding Scheme", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970113

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