Tchebichef moment based restoration of Gaussian blurred images.
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Summary
The proposed method that uses low-order Tchebichef moments to estimate the blur parameters performs better than the three existing methods in terms of the visual quality evaluated using the structural similarity index.
- Type
- article
- Published
- 2016-11-10
- Cited by
- 18
- References
- 23
- OpenAlex
- https://openalex.org/W27857283
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:27855142
Keywords
Political science
References
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- VCL@FER image quality assessment database
- Parametric PSF estimation via sparseness maximization in the wavelet domain
- Depth-Based Human Fall Detection via Shape Features and Improved Extreme Learning Machine
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- Group-Based Sparse Representation for Image Restoration
- A variational approach for Bayesian blind image deconvolution
- Local Scale Control for Edge Detection and Blur Estimation
- Content-based image quality metric using similarity measure of moment vectors
- Extreme learning machine: Theory and applications
- Precise local blur estimation based on the first-order derivative
- Image Analysis by Tchebichef Moments
- An Empirical Identification Method of Gaussian Blur Parameter for Image Deblurring
- Image quality assessment: from error visibility to structural similarity
- The Split Bregman Method for L1-Regularized Problems
- Turbulence compensation: an overview
- Blind image deconvolution with spatially adaptive total variation regularization.
Cited by
- Learning based restoration of Gaussian blurred images using weighted geometric moments and cascaded digital filters
- Feature-based phase retrieval wavefront sensing approach using machine learning.
- Tchebichef and Adaptive Steerable-Based Total Variation Model for Image Denoising
- An Improved Method of Measuring Wavefront Aberration Based on Image with Machine Learning in Free Space Optical Communication
- Image definition assessment based on Tchebichef moments for micro-imaging.
- A method of measuring wavefront aberration with CNN
- GPU fast restoration of non-uniform illumination images
- Efficient learning-based blur removal method based on sparse optimization for image restoration
- Blind Image Deconvolution Algorithm Based on Sparse Optimization with an Adaptive Blur Kernel Estimation
- Fusion of Multi-Focus Images with Neighbour Local Distance
- Neighbour Local Variability for Multi-Focus Images Fusion
- Fast computation of 3D Tchebichef moments for higher orders
- Single sequence phase shifting spectrally resolved interferometry for an in-line thin film thickness measurement using spectral reflectance and phase.
- An Efficient Image Deblurring Method with a Deep Convolutional Neural Network for Satellite Imagery
- Hybrid regression model via multivariate adaptive regression spline and online sequential extreme learning machine and its application in vision servo system
- Automatic Focusing Method Based on Hybrid Search Mechanism for Optical Fiber Connector Detection
- ACCESO PROCESAL A DATOS ALOJADOS EN EL PROVEEDOR DE SERVICIOS DE TELECOMUNICACIONES (TSP) SEGÚN LA ORDENANZA PROCESAL PENAL ALEMANA (REF. ESP. §100G STPO ) Procedural access to data hosted into the telecommunication server provider (TSP) according to the German procedural criminal Law. (Ref. §100g StPO)
- Multi-focus image fusion using local variability. (Fusion d'image en utilisant la variabilité locale)
- Open-Sesame : the Supportive Semantic-Role-Labeling Method
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