NDLI: Proposing self mutation of hybrid wavelet transform with Cosine-Kekre, Cosine-Sine & Cosine-Walsh for image compression

Content Provider	IEEE Xplore Digital Library
Author	Thepade, S.D. Dewan, J.H. Erandole, S.S. Patil, P.H.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Technol., Pimpri Chinchwad Coll. of Eng., Pune, India (Dewan, J.H.) \|\| Dept. of Comp. Eng., Int. Inst. of Inf. Technol., Pune, India (Erandole, S.S.) \|\| Dept. of Comp. Eng., Pimpri Chinchwad Coll. of Eng., Pune, India (Patil, P.H.) \|\| Pimpri Chinchwad Coll. of Eng., Pune, India (Thepade, S.D.)
Abstract	As the technology is becoming highly developed in the field of multimedia and digital imaging, the storage & size of image is becoming an issue for current era. So reduction in size of image data becomes important to accommodate large number volume of image data. Here Image Compression plays main role in reducing the size of image by removing redundant pixel values from image by maintaining original quality of image. Hybrid Wavelet Transform with Row Transform & Column Transform are already proven better. This paper proposes self mutated hybrid wavelet transform generated from Cosine Transform, Sine Transform, Walsh Transform. The experimentation is done using 15 different images having size 256×256×3 with ten different compression ratios which varies from 50% to 95%. The results from the experimentation show that the proposed method of Self Mutated Hybrid Wavelet Transform (SMHWT) generated from combination of Cosine & Kekre orthogonal transforms performs better for the lower compression ratios i.e. from 50% to 70%. Also the Hybrid Wavelet Transform (HWT) generated from mixture of Cosine Transform & Kekre Transform performs better than Self Mutated Hybrid Wavelet Transform (SMHWT) for compression ratios 75% to 95%.
Starting Page	684
Ending Page	690
File Size	542192
Page Count	7
File Format	PDF
e-ISBN	9781479984336
DOI	10.1109/ABLAZE.2015.7154938
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-02-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Knowledge management Sine Transform Orthogonal Transform Hybrid Wavelet Transform Kekre Transform Wavelet Transform Self Mutated Hybrid Wavelet Transform Image coding Image Compression Walsh Transform Mean square error methods Cosine Transform Market research Hybrid power systems
Content Type	Text
Resource Type	Article

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