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3 articles for “blind deconvolution”
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Deblurring Image Secured Using Blind Deconvolution Algorithm with RSA Algorithm
Abstract: AbstractHow one can get a clear picture from a single motion blurred picture has been a difficult open problem in digital imaging. In this paper, our focal point is on image restoration which is in many instances talked about image deblurring or image deconvolution. Image restoration is the procedure of recovering the common picture from the degraded picture. Image deblurring is a technique to make the picture sharper and great …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 20–26 Read article
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Simulation of Complex Camera Motion Paths for Image Stabilization
Abstract: Image stabilization (IS) is a family of techniques used to reduce blurring like effects associated with the motion of a camera during exposure. Specifically, it compensates for pan and tilt (angular movement, equivalent to yaw and pitch) of a camera. These camera motions are combinations of basic movements like linear horizontal or vertical motions, circular motion or sometimes arbitrary motions. In true sense motion blur generated by these motions is …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 33–41 Read article
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A Novel Blind Restoration Technique Using Different Edge Detection Methods
Abstract: Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 2, 2014 · pp. 1–5 Read article