Image Restoration Using Blur Invariants In Wavelet Transform
N.Gopinath Thangadurai,  Mr.X. Jeevan Patrick
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.
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