Low-cost still-picture compression chip set

Abbas Razavi; Isaac Shenberg; Rafi Retter; Rami Friedlander; Ari Jaliff; Miri Frenkel; Chihiro Nakagawa; Hidetoshi Yamada

doi:10.1117/12.58421

30 April 1992 Low-cost still-picture compression chip set

Abbas Razavi, Isaac Shenberg, Rafi Retter, Rami Friedlander, Ari Jaliff, Miri Frenkel, Chihiro Nakagawa, Hidetoshi Yamada

Author Affiliations +

Proceedings Volume 1659, Image Processing and Interchange: Implementation and Systems; (1992) https://doi.org/10.1117/12.58421
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

Image compression is used to handle large volume of digitized image data in order to minimize the time and cost required to store and transfer the digitized data. Image compression is one of the key components in emerging applications such as digital still video cameras, multimedia, color printers, video fax machines, and desktop publishing. This paper will describe the Zoran 031 image compression chip set. The chip set is comprised of the ZR36020 Discrete Cosine Transform (DCT) Processor and the ZR36031 Image Compression Coder/Decoder that work together to perform image compression and expansion. The chip set employs an algorithm for high quality compression of continuous-tone color or monochrome images, similar to the algorithm specified in the Joint Photographic Expert Group standard. The 031 chip set is targeted at cost-sensitive business and consumer applications such as digital still video cameras, color printers, color fax machines, and scanners. The architecture and the coding/decoding algorithm of the chip set as well as the add-in image compression PC board in which it is utilized will be discussed.

Citation Download Citation

Abbas Razavi, Isaac Shenberg, Rafi Retter, Rami Friedlander, Ari Jaliff, Miri Frenkel, Chihiro Nakagawa, and Hidetoshi Yamada "Low-cost still-picture compression chip set", Proc. SPIE 1659, Image Processing and Interchange: Implementation and Systems, (30 April 1992); https://doi.org/10.1117/12.58421

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image compression

Image processing

Quantization

Detection and tracking algorithms

Video

Video compression

Image quality

Show All Keywords

Keywords/Phrases

Search In:

Publication Years