Results 1 to 10 of about 47,492 (166)
Image Blur Classification and Unintentional Blur Removal [PDF]
Blur is a general image degradation caused by low-quality cameras or intentional photographing for highlighting moving or salient objects. However, most blur classifiers just classify images into blur and sharp, which cannot distinguish the intentional ...
Rui Huang +3 more
doaj +2 more sources
Effect of Blur Adaptation on Blur Sensitivity in Myopes
Although blur adaptation in myopia has been investigated, knowledge regarding its effect on blur sensitivity remains unknown. In the present study, changes in three blur thresholds (i.e., noticeable, bothersome, and non-resolvable blur) were assessed monocularly after 1h of blur adaptation in myopes. A Badal optical system was used to present either an
Balamurali Vasudevan +1 more
exaly +3 more sources
This paper presents a 3 in 1 standalone FPGA system which can perform color image blur detection in parallel with compression and encryption. Both blur detection and compression are based on the 3-level Haar wavelet transform, which is used as a common ...
Ahmed A. Rezk +3 more
doaj +1 more source
Blur detection of digital forgery using mathematical morphology
Aiming at the fuzzy operation commonly used in image tampering,a new fuzzy detection scheme using smooth filter preserving edges and mathematical morphological methods was studied.By using the sharpening function and denoising function of both methods ...
Hui-fen HUANG,Zhi-hong WANG,Yu-hong CHANG
doaj +3 more sources
Algorithm for choosing the best frame in a video stream in the task of identity document recognition [PDF]
During the process of document recognition in a video stream using a mobile device camera, the image quality of the document varies greatly from frame to frame.
M.A. Aliev +3 more
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Virtual reality boxing: Gaze-contingent manipulation of stimulus properties using blur
It has been reported that behavior of experts and novices in various sporting tasks is impervious to the introduction of blur. However, studies have used diverse methods of blurring the visual stimulus (i.e., dioptric blur and Gaussian blur), and tasks ...
Annabelle Limballe +4 more
doaj +1 more source
Method of multilayer object sectioning based on a light scattering model
We discuss a problem of reconstructing (sectioning) multilayer object images in observed images obtained by focusing the imaging system on each layer and containing spurious blurry images of neighboring layers.
S.D. Bazhitov +3 more
doaj +1 more source
Blurrings Of The J-Function [PDF]
Abstract Inspired by the idea of blurring the exponential function, we define blurred variants of the j-function and its derivatives, where blurring is given by the action of a subgroup of $\mathrm{GL}_2({\mathbb{C}})$. For a dense subgroup (in the complex topology) we prove an Existential Closedness theorem which states that all systems
Aslanyan, Vahagn, Kirby, Jonathan
openaire +4 more sources
Effects of visual blur on microsaccades during visual exploration
Microsaccades shift the image on the fovea and counteract visual fading. They also serve as an optimal sampling strategy while viewing complex visual scenes. Microsaccade production relies on the amount of retinal error or acuity demand of a visual task.
Sherry Tang +6 more
doaj +1 more source
On Restoration of the Blur Parameter in the Optical Sectioning Problem
The article considers the problem of finding the blur parameter between two images for the optical sectioning problem, in which the blur model has a natural optical origin associated with the use of incoherent white light as a radiation source in the ...
Sergey Bazhitov
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