Paper
1 May 1994 Improved DCT-based image coding and decoding methods for low-bit-rate applications
Sung-Hwan Jung, Sanjit K. Mitra
Author Affiliations +
Proceedings Volume 2186, Image and Video Compression; (1994) https://doi.org/10.1117/12.173915
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
The discrete cosine transform (DCT) is well known for highly efficient coding performance, and it is widely used in many image compression applications. However, in low-bit rate coding, it produces undesirable block artifacts that are visually not pleasing. In addition, in many applications, faster compression and easier VLSI implementation of DCT coefficients are also important issues. The removal of the block artifacts and faster DCT computation are therefore of practical interest. In this paper, we outline a modified DCT computation scheme that provides a simple efficient solution to the reduction of the block artifacts while achieving faster computation. We also derive a similar solution for the efficient computation of the inverse DCT. We have applied the new approach for the low-bit rate coding and decoding of images. Initial simulation results on real images have verified the improved performance obtained using the proposed method over the standard JPEG method.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sung-Hwan Jung and Sanjit K. Mitra "Improved DCT-based image coding and decoding methods for low-bit-rate applications", Proc. SPIE 2186, Image and Video Compression, (1 May 1994); https://doi.org/10.1117/12.173915
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Video compression

Very large scale integration

Video coding

Visualization

Computer engineering

Computer programming

Back to Top