TY - JOUR
T1 - Wavelet based scalable image compression
AU - Panchanathan, S.
AU - Jain, A.
N1 - Funding Information:
This work has been partially supported by Canadian Institute of Telecommunications Research (CITR) of the Networks Centers of Excellence (NCE) program of the Government of Canada and the Natural Science and Engineering Research Council of Canada (NSERC).
Funding Information:
This work has been partially supported by Canadian Institute of Telecommunications Research (CITR) of the Networks Centers of Excellence (NCE) program of the Government of Canada and the Natural Science and Engineering Research
Publisher Copyright:
© 1995 SPIE. All rights reserved.
PY - 1995/4/17
Y1 - 1995/4/17
N2 - In this paper, we present scalable image compression algorithms based oh wavelet transform. Recently, the International Standard Organization (ISO) has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression (baseline algorithm) but also provides the framework of reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. Spatial scalability can be implemented using the hierarchical mode in the JPEG standard. However, the standard does not specify the downsampling filters to be used for obtaining the progressively lower size images. A straightforward implementation would employ mean downsampling filters. However, this filter does not perform very well in extracting the features from the full size image resulting in poor quality images and a lower compression ratio. We present a wavelet transform based technique for achieving spatial scalability (within the framework of hierarchical mode). Our simulation results confirm the substantial performance improvement and superior subjective quality images using the proposed technique. Most importantly, the wavelet based technique does not require any modifications to existing JPEG decoders.
AB - In this paper, we present scalable image compression algorithms based oh wavelet transform. Recently, the International Standard Organization (ISO) has proposed the JPEG standard for still image compression. JPEG standard not only provides the basic feature of compression (baseline algorithm) but also provides the framework of reconstructing images in different picture qualities and sizes. These features are referred to as SNR and spatial scalability, respectively. Spatial scalability can be implemented using the hierarchical mode in the JPEG standard. However, the standard does not specify the downsampling filters to be used for obtaining the progressively lower size images. A straightforward implementation would employ mean downsampling filters. However, this filter does not perform very well in extracting the features from the full size image resulting in poor quality images and a lower compression ratio. We present a wavelet transform based technique for achieving spatial scalability (within the framework of hierarchical mode). Our simulation results confirm the substantial performance improvement and superior subjective quality images using the proposed technique. Most importantly, the wavelet based technique does not require any modifications to existing JPEG decoders.
UR - http://www.scopus.com/inward/record.url?scp=2142759881&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2142759881&partnerID=8YFLogxK
U2 - 10.1117/12.206373
DO - 10.1117/12.206373
M3 - Conference article
AN - SCOPUS:2142759881
SN - 0277-786X
VL - 2419
SP - 505
EP - 514
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Digital Video Compression: Algorithms and Technologies 1995
Y2 - 5 February 1995 through 10 February 1995
ER -