Comparative Study and Qualitative-Quantitative Investigations of Several Motion Deblurring Algorithms
نویسندگان
چکیده
Motion blur caused by relative motion between the camera and the object being captured is an everyday situation that deteriorates the quality of the images largely. Even a photograph captured in low light conditions or that of a fast moving object undergo motion blur and cause significant degradation of the image and demands for deblurring the same to reconstruct the original image. The paper addresses this commonly encountered problem and carries out a thorough experimental investigation of several non-blind and blind motion deblurring algorithms. Both qualitative and quantitative assessment based on popular performance metrics viz., peak signal-to-noise ratio (PSNR) and mean squared error (MSE) is performed. Through this comparative analysis the properties and limitations of these deblurring algorithms are explored and verified. General Terms Algorithms, Performance, Experimentation.
منابع مشابه
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database
Motion blur due to camera shake is one of the predominant sources of degradation in handheld photography. Single image blind deconvolution (BD) or motion deblurring aims at restoring a sharp latent image from the blurred recorded picture without knowing the camera motion that took place during the exposure. BD is a long-standing problem, but has attracted much attention recently, cumulating in ...
متن کاملStereo Video Deblurring
Videos acquired in low-light conditions often exhibit motion blur, which depends on the motion of the objects relative to the camera. This is not only visually unpleasing, but can hamper further processing. With this paper we are the first to show how the availability of stereo video can aid the challenging video deblurring task. We leverage 3D scene flow, which can be estimated robustly even u...
متن کاملComparative survey between quantitative and qualitative paradigms (part II)
As stated in the first part of article, we have stated the four major philosophical paradigms ‎which make up the basis for knowledge(epistemology), the nature and reality(ontology) and ‎the acquisition methods of knowledge(methodology). Thus, according to each paradigm, ‎approach to knowledge is determined. ‎‏ ‏ In a more general category, we have two quantitative and qu...
متن کاملBlur-Invariant Deep Learning for Blind-Deblurring (Supplementary Material)
We provide additional quantitative and qualitative comparisons on two more publicly available datasets, Köhler et al. [2] and Lai et al. [3] respectively, in this supplementary material to demonstrate the efficacy of our proposed network. We also provide an analysis on the deblurring efficiency and generalizability of our network when compared to a network learned for a single blur kernel. Alon...
متن کاملMotion Deblurring for Light Fields
We generalize Richardson-Lucy deblurring to 4-D light fields by replacing the convolution steps with light field rendering of motion blur. The method deals correctly with blur caused by 6-degree-of-freedom camera motion in complex 3D scenes, without performing depth estimation. We include a novel regularization term that maintains parallax information in the light field, and employ 4-D anisotro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011