NDLI: A Scheme for Image Classification and Adaptive Mother Wavelet Selection

Content Provider	IEEE Xplore Digital Library
Author	Shajeemohan, B.S. Govindan, V.K. Vijilin, B.
Copyright Year	2006
Description	Author affiliation: Gov. Eng. Coll., Kannur (Shajeemohan, B.S.)
Abstract	Wavelet based image coders are gaining popularity. The performances of such image coders are highly depend up on the selection of an appropriate wavelet for a particular image. There are many suggestions to classify images in to classes. In this paper, we are introducing classification of the images based on their statistical properties. Once the image is assigned to a particular class based on their statistical properties, then an appropriate wavelet is to be selected for the compression. A technique called adaptive mother wavelet selection scheme is proposed. The approach is based on the classification of images into different groups and associating each of the groups with the best wavelet that provides best quality images for a given amount of compression. Performance quality measures like PQS, bit rate, PSNR are used for judging the best wavelet for a class of images. Image properties like mean, standard deviation, and skewness are used for classifying images into groups such as texture, human, and aerial. Implementation results on test images demonstrate the superiority of the proposed technique.
Starting Page	308
Ending Page	313
File Size	377551
Page Count	6
File Format	PDF
ISBN	142440715X
DOI	10.1109/ADCOM.2006.4289905
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-20
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Pediatrics PSNR Humans Educational institutions Image compression Code standards Performance Quality Measures Image Classification Wavelets Image coding Statistical properties Bit rate Wavelet packets Image classification
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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