Efficient Methodology for single shot blind motion deblurring

Abstract

Images are widely used in almost all technical areas for monitoring, detection newlinemedical diagnosis and so on. As the handheld camera or digital camera can not newlinecapture images instantly, there is possibility of relative motion between the camera newlineand scene being captured during exposure time causes unavoidable blurring effect in newlinecaptured images. Due to relative motion important information in the observed newlineimage is smeared and some of high frequency information is lost. Nowadays, trend newlineis to use light weight digital camera and smart phone to capture images, but the newlineresultant images from these devices are unevietably motion blurred as it is difficult hold these device steadily for long time. These blurred images are useless for further high quality image processing task. The Blind Image deconvolution/Deblurring (BID) newlineaims to recover sharp image from the corrosponding blurred image. It is long lasting newlineinverse problem, but still an imperative issue for research community to efficiently newlineand reliably restore the original image from available single blurred image. In real newlineworld scenario, motion deblurring is extremely essential for unique events such as, newlinesurveillance, astronomy, journalism, medical imaging, and consumer photography. newline newlineImage degradations mostly occur due to motion blur, out of focus blur or newlineatmospheric turbulence blur. In this thesis attempt has been made to remove newlineuniform motion blur effect from captured blurred photograph. Observed image is newlineusually represented by convolved mixture of original image and degradation newlinefunction. Therefore, motion deblurring task is composed of two part, first is to find newlineout the degradation function and secondly deconvolve the observed image using the newlinedegradation function to perform inverse operation so as to get back original image. newlineIn Blind Deblurring problem degradation function is unknown and it is challenging to newlinefind out how the degradation has been occurred with little or no prior information newlineabout the image or the blurring process.