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18 results with keyword: 'face image super resolution using d cca'

Face image super-resolution using 2D CCA

Kumar, Simultaneous super- resolution and feature extraction for recognition of low-resolution faces, in: IEEE Conference on Computer Vision and Pattern Recogni- tion, 2008, pp.

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Interpreting infrastructure: Defining user value for digital financial intermediaries.

This term attempts to establish a contrast between Zopa and payday lending firms, which have garnered negative press for high-risk lending to a social class of users often

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2021
URBAN LAND VALUES AND REAL OPTIONS. Robert Angus Grovenstein, Jr. (Under the Direction of Professor Henry Munneke) ABSTRACT

The current research estimates the real option value of development for urban parcels of vacant land in Chicago by making several empirical estimations and incorporating the

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2021
A Novel Approach for Super Resolution of Video Frame using Spatially Adaptive Total Variation

[4] “Robust Face Super-Resolution Using Free-Form Deformations For Low-Quality Surveillance Video” The proposed method can generate a high-resolution face image from

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2020
SIX weeks/months industrial training report on BEL(BHARAT ELECTRONICS LIMITEDProject

The transmitter for Radar is Coherent MOPA type that operates in S Band using TWT as the final amplifier. The transmitter is used to amplify the pulsed RF signal from low power

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

Here we are using a de- blocking algorithm on low resolution compressed image, and this de-blocked low-resolution image is super-resolved using

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2020
A comprehensive review of deep learningbased single image super-resolution

The relevant search terms include image super-resolution, super-resolution, deep learning super-resolution, convolutional neural networks, image upsampling methods,

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Image Super Resolution Using Wavelet Analysis

Image resolution enhancement by utilizing discrete and stationary wavelet decomposition: In this correspondence the authors proposes an image resolution enhancement

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Residual Attribute Attention Network for Face Image Super-Resolution

In this paper, we present a novel deep end-to-end network for face super resolution, named Residual Attribute Attention Network (RAAN), which realizes the efficient feature fusion

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Low-dose carotid computed tomography angiography using pure iterative reconstruction

Subjective image noise, contrast resolution and spatial resolution were scored using a ten-point scale at 7 anatomical levels: right common CCA, right CCA bifurcation,

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2021
Image Enhancement Using Wavelet Decomposition, Super Resolution Algorithm & LUM Filters

Below figures show that super resolved image of foggy images using proposed super resolution technique is much better than the low resolution image as in original image,

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2020
Missing data super-resolution using non-local and statistical priors

Super-resolution of missing data for a high-resolution SST field: first row, real high-resolution (HR) image, initial interpolation using the low-resolution image, interpolated

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2021
Face recognition in low resolution video sequences using super resolution

In order to achieve the objective of this thesis, which is to improve face recognition rates using super resolution techniques in video sequences, it is

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Dead or Dormant? Docile or Fractured? The Culture of Military Clampdown on Youth Demonstrations and its Repercussions on the 21ST Century Nigerian Youths

1999 Nigerian Youths Repressive Military Regimes/Policies Youth Resistance & Demonstrations Civilian Administrations (Post 1999) Messengers Sycophants Cowards Faithfuls

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Pose-Invariant Face Recognition on Video with Image Super-Resolution

Using the orthographic projection model and the detected five facial feature points, a 3D generic shape model is aligned to the 2D face image.The 2D face image is then

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Single Image Super-Resolution using Gaussian Process Regression

Super-resolution ( 4× ) comparison of bicubic interpolation, reconstruction with imposed edge statistics [ 6 ], single image super- resolution using redundant patches across scales [

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Efficient Image Super-Resolution Using Pixel Attention

To demonstrate the effective- ness of our PA layer, we use PAN as the basic network, and then replace the 16 SC-PA blocks with 8 residual blocks (RB), 8 residual blocks with

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Image Super-Resolution Using Deep Convolutional Networks

Third, experiments show that the restoration quality of the network can be further improved when (i) larger and more diverse datasets are available, and/or (ii) a larger and

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2022

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