NDLI: Image compression using a new adaptive standard deviation thresholding estimation at the wavelet details subbands

Content Provider	IEEE Xplore Digital Library
Author	Taujuddin, N.S.A.M. Ibrahim, R. Sari, S.
Copyright Year	2015
Description	Author affiliation: Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia (Taujuddin, N.S.A.M.; Sari, S.) \|\| Fac. of Comput. Sci. & Inf. Technol., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia (Ibrahim, R.)
Abstract	The process before quantization stage in compression process is a very crucial stage espeacially in application that require a high compression ratios. So, in this paper, we propose a new method of image compression that is based on reducing the wavelet coefficients in wavelet details subbands. It is based on the concept of local subband wavelet coefficients minimization to find the optimum threshold value for wavelet coefficients in each detail subbands. The proposed method decomposed the image into LL (low resolution approximate image), HL (intensity variation along column, horizontal edge), LH (intensity variation along row, vertical edge) and HH (intensity variation along diagonal). The coefficients in details subband retrived from the decomposition process is then manipulated in such a way that the nearly zero coefficient is discarded while the rest is remained. This process will reduce the unsignificant wavelet coefficient that leads to a great compression ratio while preserving the informative data to produce a good image quality as can be seen in the experiment done.
Starting Page	109
Ending Page	114
File Size	545679
Page Count	6
File Format	PDF
e-ISBN	9781479962112
DOI	10.1109/ICCTIM.2015.7224602
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-21
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete Wavelet Transform (DWT) Image coding Image resolution Wavelet Coefficients Image edge detection Thresholding Details subbands Discrete wavelet transforms Standards Signal resolution Wavelet coefficients
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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