Title :
Image classification for quality compression with wavelet filters based on image feature analysis
Author :
Tjahyadi, Ronny ; Liu, Wanquan
Author_Institution :
Dept. of Comput. Sci., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
In this paper, we propose a method to extract features from images that may be related to their compression capability with wavelet filters - their fidelity. Based on these features, images are classified into three different classes corresponding to their fidelity: low, medium and high. We have found this classification schema is effective and can be used as a guideline for selecting wavelet filter for the images in the low fidelity class.
Keywords :
feature extraction; filtering theory; image classification; image coding; image resolution; transform coding; wavelet transforms; compression capability; compression quality; feature extraction; high fidelity images; image classification; image compression; image feature analysis; low fidelity images; medium fidelity images; multi-resolution analysis; wavelet filters; Discrete cosine transforms; Feature extraction; Filters; Guidelines; Image analysis; Image classification; Image coding; Image storage; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181207
