Compression of high-resolution images with visually transparent techniques

Anup V. Rao; M. Thomas; Sunanda Mitra; Michael E. Parten

doi:10.1117/12.186582

21 September 1994 Compression of high-resolution images with visually transparent techniques

Anup V. Rao, M. Thomas, Sunanda Mitra, Michael E. Parten

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186582
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Encoding of images with requirements of high visual quality and post-processing capability requires new approaches to the coding problem. These requirements prohibit the introduction of noticeable degradation and structured artifacts by the coding process. A variable block size coding approach using a spatial structure criteria for segmentation has been found to yield high compression ratios, particularly for images with detail concentrated in limited regions. However, block based techniques, such as transforms, vector quantization (VQ) or a combination of transforms and VQ, by their very nature tend to introduce unacceptable blocking artifacts. In this paper, a modified variable block size approach tailored to yield high quality and no structured artifacts is developed. The technique is used in a two-source coding scheme and in a multi-source scheme i.e., coding of the Laplacian pyramid decomposition. Results of simulations on standard 512 X 512 monochrome images are obtained and compared with those obtained by the baseline JPEG standard and current literature. Results of simulations on 1024 X 1024 digital x rays are also obtained. The proposed two-source scheme is found to yield good compression ratios, high quality and impressive post-processing capability.

Citation Download Citation

Anup V. Rao, M. Thomas, Sunanda Mitra, and Michael E. Parten "Compression of high-resolution images with visually transparent techniques", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186582

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
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Visualization

Image compression

Data compression

Image quality

Image processing

Quantization

Show All Keywords

Keywords/Phrases

Search In:

Publication Years