Share Email Print

Proceedings Paper

Improved DCT-based image coding and decoding methods for low-bit-rate applications
Author(s): Sung-Hwan Jung; Sanjit K. Mitra
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 1 May 1994
PDF: 7 pages
Proc. SPIE 2186, Image and Video Compression, (1 May 1994); doi: 10.1117/12.173915
Show Author Affiliations
Sung-Hwan Jung, Univ. of California/Santa Barbara (United States)
Sanjit K. Mitra, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 2186:
Image and Video Compression
Majid Rabbani; Robert J. Safranek, Editor(s)

© SPIE. Terms of Use
Back to Top