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http://dx.doi.org/10.7471/ikeee.2017.21.1.39

A Study on Applications of Wavelet Bases for Efficient Image Compression  

Jee, Innho (Dept. of Computer and Information Communications Engineering, Hongik University)
Publication Information
Journal of IKEEE / v.21, no.1, 2017 , pp. 39-45 More about this Journal
Abstract
Image compression is now essential for applications such as transmission and storage in data bases. For video and digital image applications the use of long tap filters, while not providing any significant coding gain, may increase the hardware complexity. We use a wavelet transform in order to obtain a set of bi-orthogonal sub-classes of images; First, the design of short kernel symmetric analysis is presented in 1-dimensional case. Second, the original image is decomposed at different scales using a subband filter banks. Third, this paper is presented a technique for obtaining 2-dimensional bi-orthogonal filters using McClellan transform. It is shown that suggested wavelet bases is well used on wavelet transform for image compression. From performance comparison of bi-orthogonal filter, we actually use filters close to ortho-normal filters on application of wavelet bases to image analysis.
Keywords
Wavelet transform; bi-orthogonal bases; ortho-normal filters; kernel; McCllellan transform;
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Times Cited By KSCI : 1  (Citation Analysis)
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