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Paper Details
Paper Title
Image Restoration Using Blur Invariants In Wavelet Transform
Authors
N.Gopinath Thangadurai, Mr.X. Jeevan Patrick
Abstract
Image restoration is an important issue in high-level image processing. Images are often degraded during the data acquisition process. The degradation may involve blurring, information loss due to sampling, quantization effects, and various sources of noise. The purpose of image restoration is to estimate the original image from the degraded data. It is widely used in various fields of applications, such as medical imaging, astronomical imaging, remote sensing, microscopy imaging, photography deblurring, and forensic science, etc. Images are produced to record or display useful information.
Keywords- Image restoration, image degradation, wavelet transform, blurinvariants.
Publication Details
Unique Identification Number - IJEDR1701048Page Number(s) - 309-313Pubished in - Volume 5 | Issue 1 | February 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
N.Gopinath Thangadurai, Mr.X. Jeevan Patrick, "Image Restoration Using Blur Invariants In Wavelet Transform", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 1, pp.309-313, February 2017, Available at :http://www.ijedr.org/papers/IJEDR1701048.pdf
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