Robust identification of motion and out-of-focus blur parameters from blurred and noisy images
CVGIP: Graphical Models and Image Processing
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
Digital Image Processing Algorithms and Applications
Digital Image Processing Algorithms and Applications
Digital Image Processing
Image stablization for 2D barcode in handheld devices
Proceedings of the 15th international conference on Multimedia
PSF estimation and image restoration for noiseless motion blurred images
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
De-blurring textual document images
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
An efficient natural image deblurring algorithm
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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This paper proposes a technique for restoring the motion blurred images. Restoration of blurred images is very important problem in tracking and identification of criminals, where image of a human face or number plate of a running vehicle taken in hit and run situation gets blurred due to relative motion between the imaging system and object/face. For restoration of motion blurred images, knowledge of the point spread function (PSF) is very important. The motion blur PSF is characterized by two parameters, namely blur direction and blur length. This paper also presents a method to identify the parameters of the PSF from the blurred and noisy images using the log spectrum of the blurred images. These parameters are used to restore the images. The experimental results demonstrate that the image can successfully be restored from the image with substantial amount of natural and artificial blur.