Wavelet & Other Thresholding Technique in Digital Image Processing
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 129 | Views: 318

Review Papers | Electronics & Communication Engineering | India | Volume 6 Issue 7, July 2017 | Popularity: 6.3 / 10


     

Wavelet & Other Thresholding Technique in Digital Image Processing

Deepti Rai, Vaishali Suryavanshi


Abstract: The past decade has witnessed the development of wavelet analysis, a new tool that emerged from mathematics and was quickly adopted by diverse fields of science and engineering. In the brief period since its creation in 1987-88, it has reached a certain level of maturity as a well-defined mathematical discipline, with its own conferences, journals, research monographs, and textbooks proliferating at a rapid rate. Wavelet analysis has begun to play a serious role in a broad range of applications, including signal processing, data and image compression, solution of partial differential equations, modelling multiscale phenomena, and statistics. There seem to be no limits to the subjects where it may have utility. Our aim is to explore some additional topics that extend the basic ideas of wavelet analysis.


Keywords: discrete wavelet transform, image processing, noise removal, median filter, PSNR


Edition: Volume 6 Issue 7, July 2017


Pages: 96 - 99



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Deepti Rai, Vaishali Suryavanshi, "Wavelet & Other Thresholding Technique in Digital Image Processing", International Journal of Science and Research (IJSR), Volume 6 Issue 7, July 2017, pp. 96-99, https://www.ijsr.net/getabstract.php?paperid=ART20175034, DOI: https://www.doi.org/10.21275/ART20175034

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