scholarly journals Image decomposition method for the analysis of a mixed dislocation in a general multilayer

2007 ◽  
Vol 44 (5) ◽  
pp. 1563-1581 ◽  
Author(s):  
H.Y. Wang ◽  
M.S. Wu ◽  
H. Fan
Keyword(s):  
Decomposition Method ◽  
Image Decomposition ◽  
Mixed Dislocation

Digital watermarking using Hall property image decomposition method

2017 ◽  
Vol 21 (4) ◽  
pp. 997-1012 ◽  
Author(s):  
Nazeer Muhammad ◽  
Nargis Bibi ◽  
Iqbal Qasim ◽  
Adnan Jahangir ◽  
Zahid Mahmood
Keyword(s):  
Digital Watermarking ◽  
Decomposition Method ◽  
Image Decomposition ◽  
Hall Property

scholarly journals The 2D Spectral Intrinsic Decomposition Method Applied to Image Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Samba Sidibe ◽  
Oumar Niang ◽  
Abdoulaye Thioune ◽  
Abdoul-Dalibou Abdou ◽  
Ndeye Fatou Ngom
Keyword(s):  
Image Analysis ◽  
Decomposition Method ◽  
Image Decomposition ◽  
New Method ◽  
Two Dimensional ◽  
Dimensional Version ◽  
The Mean ◽  
Diffusivity Function

We propose a new method for autoadaptive image decomposition and recomposition based on the two-dimensional version of the Spectral Intrinsic Decomposition (SID). We introduce a faster diffusivity function for the computation of the mean envelope operator which provides the components of the SID algorithm for any signal. The 2D version of SID algorithm is implemented and applied to some very known images test. We extracted relevant components and obtained promising results in images analysis applications.

Image Decomposition Based on a Modified Bidimensional Empirical Mode Decomposition Method

2014 ◽  
Vol 496-500 ◽  
pp. 1931-1936
Author(s):  
Cheng Wang
Keyword(s):  
High Resolution ◽  
Empirical Mode Decomposition ◽  
Decomposition Method ◽  
Linear Equations ◽  
Image Decomposition ◽  
Large Matrix ◽  
Mode Decomposition ◽  
Empirical Mode Decomposition Method ◽  
High Resolution Images ◽  
Bidimensional Empirical Mode Decomposition

This study introduces a modified bidimensional empirical mode decomposition method to deal with high resolution images. To avoid solving large linear equations and calculating large matrix, the images are split into several blocks, processed individually, and subsequently joined into one. Thus, the complexity of time and space is lowered efficiently.

scholarly journals An Image Decomposition Fusion Method for Medical Images

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lihong Chang ◽  
Wan Ma ◽  
Yu Jin ◽  
Li Xu
Keyword(s):  
Feature Extraction ◽  
Representation Theory ◽  
Sparse Representation ◽  
Decomposition Method ◽  
Medical Images ◽  
Image Decomposition ◽  
Fusion Method ◽  
Fusion Rules ◽  
Fused Image

A fusion method based on the cartoon+texture decomposition method and convolution sparse representation theory is proposed for medical images. It can be divided into three steps: firstly, the cartoon and texture parts are obtained using the improved cartoon-texture decomposition method. Secondly, the fusion rules of energy protection and feature extraction are used in the cartoon part, while the fusion method of convolution sparse representation is used in the texture part. Finally, the fused image is obtained using superimposing the fused cartoon and texture parts. Experiments show that the proposed algorithm is effective.

scholarly journals Novel Image State Ensemble Decomposition Method for M87 Imaging

2020 ◽  
Vol 10 (4) ◽  
pp. 1535 ◽  
Author(s):  
Timothy Ryan Taylor ◽  
Chun-Tang Chao ◽  
Juing-Shian Chiou
Keyword(s):  
Decomposition Method ◽  
Image Decomposition ◽  
Input Image ◽  
Quality Metrics ◽  
Image Artifacts ◽  
Reference Quality ◽  
State Ensemble ◽  
Overall Performance ◽  
Analysis Of The Images ◽  
Image State

This paper proposes a new method of image decomposition with a filtering capability. The image state ensemble decomposition (ISED) method has generative capabilities that work by removing a discrete ensemble of quanta from an image to provide a range of filters and images for a single red, green, and blue (RGB) input image. This method provides an image enhancement because ISED is a spatial domain filter that transforms or eliminates image regions that may have detrimental effects, such as noise, glare, and image artifacts, and it also improves the aesthetics of the image. ISED was used to generate 126 images from two tagged image file (TIF) images of M87 taken by the Spitzer Space Telescope. Analysis of the images used various full and no-reference quality metrics as well as histograms and color clouds. In most instances, the no-reference quality metrics of the generated images were shown to be superior to those of the two original images. Select ISED images yielded previously unknown galactic structures, reduced glare, and enhanced contrast, with good overall performance.

scholarly journals A Simultaneous Cartoon-Texture Image Segmentation and Image Decomposition Method

2020 ◽  
Vol 29 (5) ◽  
pp. 906-915
Author(s):  
Yafeng Li ◽  
Qijun Zhao ◽  
Wenbo Zhang ◽  
Pan Fan ◽  
Renrui Zhang ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Decomposition Method ◽  
Image Decomposition ◽  
Texture Image ◽  
Texture Image Segmentation

scholarly journals View‐invariant gait recognition system using a gait energy image decomposition method

2017 ◽  
Vol 6 (4) ◽  
pp. 299-306 ◽  
Author(s):  
Tanmay T. Verlekar ◽  
Paulo L. Correia ◽  
Luís D. Soares
Keyword(s):  
Decomposition Method ◽  
Gait Recognition ◽  
Image Decomposition ◽  
Recognition System ◽  
Gait Energy Image
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