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super-resolution video enhancement

Resolution Enhancement in Video Using Super Interpolation Algorithm

Resolution Enhancement in Video Using Super Interpolation Algorithm

... Abstract: Super resolution technique in digital image and video frame for enhancing the imaging system to acquire high resolution from low resolution ...in super ...

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Image Super resolution with Improved Wiener Restoration and Simultaneous Edge Enhancement

Image Super resolution with Improved Wiener Restoration and Simultaneous Edge Enhancement

... Super resolution is the process of creating a high resolution (HR) image from multiple low resolution (LR) frames of an input sequence ...high resolution image has not only high pixel ...

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A COMPREHENSIVE REVIEW OF IMAGE SUPER RESOLUTION ALGORITHMS

A COMPREHENSIVE REVIEW OF IMAGE SUPER RESOLUTION ALGORITHMS

... SEPT-OCT, 2013. VOL. II/VIII www.srjis.com Page 447 Registration algorithm for estimating the shifts between the acquired frames and presented a weighted nearest neighbour interpolation approach. Finally, Wiener ...

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Super-resolution Reconstruction of Noisy Video Image Based on Sparse Representation Algorithm

Super-resolution Reconstruction of Noisy Video Image Based on Sparse Representation Algorithm

... the resolution of an image, the clearer the image and the stronger the ability to express ...high- resolution (HR) scenes, low-resolution (LR) images are obtained due to degradation processes such as ...

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Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings

Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings

... A super-resolution method for simultaneously realizing resolution enhancement and motion blur removal based on adaptive prior settings are presented in this ...(HR) video sequences from ...

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Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences

Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences

... the enhancement step that removes blur, noise, and color artifacts from the shift-and-add sequence, and is based on minimizing a MAP cost function with several terms composing an overall cost function similar to ( ...

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A SURVEY ON QUALITY FACE EXTRACTION FROM VIDEO

A SURVEY ON QUALITY FACE EXTRACTION FROM VIDEO

... low resolution face images from video sequences and their applications in facial analysis ...system. Super-resolution is one of these ...of super-resolution systems working with ...

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A Survey on Super Resolution Image Enhancement using Structural Similarity Index Technique

A Survey on Super Resolution Image Enhancement using Structural Similarity Index Technique

... vi. Edge Enhancement:A filter used to enhance the edge contrast of an image or video to enhance its acutance. It is done by spotting the sharp edge boundaries such as edge between the content and background of a ...

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A resolution enhancement algorithm for an asymmetric resolution stereo video

A resolution enhancement algorithm for an asymmetric resolution stereo video

... quality enhancement process for low-quality videos is needed to improve user ...experience. Video super- resolution is one of the promising approaches for improv- ing visual ...(HR) ...

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Ordinal Regression Based Subpixel Shift Estimation for Video Super-Resolution

Ordinal Regression Based Subpixel Shift Estimation for Video Super-Resolution

... a video has been of constant interest to researchers in computer vi- ...as video frame reg- istration, resolution enhancement, super-resolution, and optical-flow-based tracking, ...

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A Novel Enhancement Techniques of Degraded Video

A Novel Enhancement Techniques of Degraded Video

... for super resolution are often found and square measure sometimes classified as frequency- and ...frequency-domain super-resolution, the authors additionally extend the ...

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Depth-Map-Assisted Texture and Depth Map Super-Resolution

Depth-Map-Assisted Texture and Depth Map Super-Resolution

... quality enhancement and has been widely used in video surveillance, medical image process, daily life entertainment and so ...many super resolution algorithms are proposed based on image or 2D ...

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Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

... Image resolution enhancement in the wavelet domain provides many new algorithms. Discrete wavelet transform (DWT) [5] is one of the recent wavelet transforms used in image processing. DWT decomposes an ...

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A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

... digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the ...

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Hierarchical Super Resolution Based Inpainting

Hierarchical Super Resolution Based Inpainting

... The paper is prepared as follows. In Section II, a general idea of the proposed examplar-based inpainting algorithm is pre-sented. In Section III, the details of the inpainting algorithm as well as the combination of the ...

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A Novel Blind SR Method to Improve the Spatial Resolution of Real Life Video Sequences

A Novel Blind SR Method to Improve the Spatial Resolution of Real Life Video Sequences

... motivate super resolution (SR) image and video reconstruction from lower resolution (LR) and possibly blurred ...common video sources, this paper proposes i) a complete model of ...

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Super-Resolution and Iterative Cascaded De- blocking of Compressed Images

Super-Resolution and Iterative Cascaded De- blocking of Compressed Images

... In our proposed method we are using cascading approach in which the input image is first de-blocked and then super resolution is performed. The super resolution method is categorized into ...

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Super Resolution Imaging of Mammograms Based on the Super Resolution Convolutional Neural Network

Super Resolution Imaging of Mammograms Based on the Super Resolution Convolutional Neural Network

... imaging, resolution is an important factor for diagnosing lesions on digital or digitized mammograms [9] [10] [11] ...increase resolution and decrease noise ...

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Optical super resolution through super oscillations

Optical super resolution through super oscillations

... Figure 7. ”Focusing” by the nano-hole array: Evolution of a subwavlength spot at different heights above a quasi-periodic nanohole array. Top: diffraction patterns at different heights to the array. Bottom: the width and ...

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REVIEW PAPER ON VIDEO IMAGE ENHANCEMENT AND OBJECT TRACKING IN LOW RESOLUTION

REVIEW PAPER ON VIDEO IMAGE ENHANCEMENT AND OBJECT TRACKING IN LOW RESOLUTION

... The first process of the proposed algorithm is the detection of moving objects. Frame difference technique is used, which is simple and still powerful enough, to discriminate between moving and non-moving objects. The ...

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