Proceedings ArticleDOI
Still image compression using cubic spline interpolation with bit-plane compensation
TLDR
In this paper, a modified image compression algorithm using cubic spline interpolation (CSI) and bit-plane compensation is presented for low bit-rate transmission, which can increase 25~30% compression ratio of original JPEG data.Abstract:
In this paper, a modified image compression algorithm using cubic spline interpolation (CSI) and bit-plane compensation
is presented for low bit-rate transmission. The CSI is developed in order to subsample image data with minimal
distortion and to achieve image compression. It has been shown in literatures that the CSI can be combined with the
JPEG or JPEG2000 algorithm to develop a modified JPEG or JPEG2000 CODEC, which obtains a higher compression
ratio and better quality of reconstructed images than the standard JPEG and JPEG2000 CODECs in low bit-rate range.
This paper implements the modified JPEG algorithm, applies bit-plane compensation and tests a few images.
Experimental results show that the proposed scheme can increase 25~30% compression ratio of original JPEG data
compression system with similar visual quality in low bit-rate range. This system can reduce the loading of
telecommunication networks and is quite suitable for low bit-rate transmission.read more
Citations
More filters
Book ChapterDOI
A novel human motion recognition method based on eigenspace
TL;DR: This paper proposes a novel and robust appearance-based method for human motion recognition based on the eigenspace technique that is rigorously trained and tested using KTH dataset which contains a large number of motion videos partitioned into six human motions.