Motion blur
MOTION BLUR: An INTRODUCTION
... Motion blur is the apparent streaking of rapidly moving objects in a still image or a sequence of images such as a movie or animation and it is essential used for producing high-quality ...fast ...
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Motion-blur-free video shooting system based on frame-by-frame intermittent tracking
... achieve motion-blur-free and high-brightness images when video shooting fast moving scenes is ...achieve motion blur reduction, and when the shutter is closed, the camera returns to its home ...
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Impact of spatial sampling frequency offset and motion blur on optical wireless systems using spatial OFDM
... Pixelated communication systems can convey high-speed data over optical wireless channels by using spatial orthogonal frequency division multiplexing (spatial OFDM) modulation. Two forms of spatial OFDM, spatial ...
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Laplacain Kernel Set Based Smoothen of Motion Blur Ultrasound Image
... ABSTRACT: Biomedical image processing has experienced dramatic expansion, and has been an interdisciplinary research field attracting expertise from applied mathematics, computer sciences, engineering, statistics, ...
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Non-Uniform Motion Blur For Face Recognition
... of blur are based on the convolution model and cannot handle non-uniform blurring situations that frequently arise from tilts and rotations in hand-held ...uniform motion blur and recognition of ...
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Scanning Severe Motion Blur Level in Barcode Images Using Image Blur Estimation Scheme
... image blur level estimation schemes; design procedures on handling nonlinear distortions; investigate adaptive verification procedure according to specific blur and noise; and generalize the line spread ...
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Detecting Image Forgeries using Discrepancies in Motion Blur
... the motion blur estimates are calculated for each ...1) Motion can be estimated at a number of points, as opposed to just the boundary between foreground and background, giving better resolution and ...
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Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings
... 3.1.3 Discussion of effectiveness of new prior probability As shown in the above explanations, the proposed method tries to perform the resolution enhancement and the motion blur removal with keeping the ...
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Non Uniform Motion Blur Descriptor with Applications to Face Recognition K Ashok Kumar & S Ravi Kumar
... non-uniform blur, illumination, and ...uniform motion blur-robust face recognition algorithm ...non-uniform motion blur and illumination-robust ...
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A Signal Processing Approach for Reducing LCD’s Motion Blur Effect
... the motion blur. Recent studies on LCD motion blur calculated that the sample-and- hold property of the LCD display contributes to 70% of the visible motion blur (assuming a ...
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The impact of simulated motion blur on lesion detection performance in full field digital mammography
... of motion blur did cause an ...the motion blur may be global or regional and for regional blurring, we are not able to predict the impact of this on lesion detection performance from our ...
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An Interactive Deblurring Technique for Motion Blur
... is motion blur caused by an image captured from a moving platform especially at low light condition having long exposure time of ...single, motion-blurred photograph has long been a fundamental ...
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Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum
... (i.e., blur identification) which is an ill-posed problem. Finding motion blur parame- ters in none additive noise environments was addressed in [2–4], where these researchers tried to extend their ...
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Novel Approach to Estimate Motion Blur Kernel Parameters and Comparative Study of Restoration Techniques
... be blur due to improper focusing of lens, atmospheric turbulence, undesirable working of optical systems, relative motion between the camera and ...important. Motion blur is defined with two ...
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A Fuzzy Inference System for Unsupervised Deblurring of Motion Blur in Electron Beam Calibration
... probe size. The FIS is formed of three inputs, eight fuzzy rules and one output. These grades are produced autonomously by analyzing results of Wiener inverse filter. To 151. benchmark [r] ...
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Robust Face Recognition Utilizing Motion Blur, Illumination and Pose Variations
... invariant blur model. Although the problem of blur is individually quite challenging and merit research in their own right, a few attempts have been made in the literature to jointly tackle some of these ...
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Variable exposure time imaging for obtaining unblurred HDR images
... suppress motion blur of bright regions. In addition, we propose a motion blur recovering method from variable exposure time images for obtaining more distinct images including darker ...
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A REVIEW: IMPROVEMENT IN THE QUALITY OF SHAKY CAMERA IMAGES
... Taking photos in low-light environment is most challenging experiences in photography. When handheld camera is used for taking snaps, the resulting image may be blurred due to camera shake or movement of the object in ...
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Performance Enhancement of Digital Image Deblurring Using Hybrid Approach
... translate motion blur and Gaussian noise images into a multi-resolution analysis ...significant motion blur and Gaussian noise reduction but the images tend to smear with more decomposition ...
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Set-Theoretic Characterization for Blur Face Recognition
... of blur input ...of blur. We investigate motion blur which is caused due to relative motion between camera and the scene, Gaussian blur which is caused by long-time atmospheric ...
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