An Improved Method of USM Processing on Color Image

2012 ◽  
Vol 262 ◽  
pp. 168-171 ◽  
Author(s):  
Ju Hua Liang ◽  
Li Gong
Keyword(s):  
Color Image ◽  
Source Image ◽  
Edge Enhancement ◽  
Improved Method ◽  
Color Channel ◽  
Image Sharpening ◽  
Edge Contrast ◽  
Definition Of ◽  
Two Sides ◽  
Image Definition

Unsharp masking (USM) is an image manipulation technique, the principle of which is exaggerating the lighter-darker contrast between the two sides of an edge in order to enhance the visual definition of the image. In this study, typical computer image sharpening methods and defects were studied and the sharpening principle of traditional electronic scanners was adopted to propose an improved method of USM processing, that is, regard the most significant level change in color channel as the source image of extracting so as to obtain the edge enhancement information. Thus greater edge contrast was gained when applied to all channels. Experiments on RGB and CMYK images were conducted both by conventional and enhanced methods in Matlab. The results suggest that the improved image sharpening method could enhance the contrast of the image profile and get higher image definition degree.

New Set of Invariant Quaternion Krawtchouk Moments for Color Image Representation and Recognition

2021 ◽  
pp. 2250037
Author(s):  
Gaber Hassan ◽  
Khalid M. Hosny ◽  
R. M. Farouk ◽  
Ahmed M. Alzohairy
Keyword(s):  
Quaternion Algebra ◽  
Color Image ◽  
Image Representation ◽  
Color Images ◽  
Color Channel ◽  
Krawtchouk Polynomials ◽  
Krawtchouk Moments ◽  
Similarity Transformations ◽  
The Stability ◽  
Discrete Moments

One of the most often used techniques to represent color images is quaternion algebra. This study introduces the quaternion Krawtchouk moments, QKrMs, as a new set of moments to represent color images. Krawtchouk moments (KrMs) represent one type of discrete moments. QKrMs use traditional Krawtchouk moments of each color channel to describe color images. This new set of moments is defined by using orthogonal polynomials called the Krawtchouk polynomials. The stability against the translation, rotation, and scaling transformations for QKrMs is discussed. The performance of the proposed QKrMs is evaluated against other discrete quaternion moments for image reconstruction capability, toughness against various types of noise, invariance to similarity transformations, color face image recognition, and CPU elapsed times.

Christian-Muslim Dialogue

1988 ◽  
Vol 16 (3) ◽  
pp. 279-286
Author(s):  
George N. Malek
Keyword(s):  
Middle East ◽  
Critical Examination ◽  
Christian Mission ◽  
Future Mission ◽  
Psychological Examination ◽  
Western Concept ◽  
Economic Interaction ◽  
Definition Of ◽  
Two Sides ◽  
Theological Thinking

This article reviews the postwar development of the Western concept of Islam in light of the present conflicts between the Middle East and the West, and analyzes Christian mission through an historical, psychological examination of the motive of postwar Christian mission to the Middle East. It then presents the problem of Christian/Muslim relations in light of the fundamental issue facing the two sides, that is, religious misunderstanding, not political or economic interaction. The article then raises questions on the method and motive of postwar Christian mission to the Middle East, suggesting an alternative method for future mission. The paper takes the position that dialogue is the most productive form of contact between Christianity and Islam. It attempts to indicate, by critical examination, the potential points of tension, error, and reconciliation in the theological thinking of both. A major contribution of the paper is its affirmation and definition of a dialogue, its method and motive. Finally, the paper charts some solutions, theologically, psychologically, and cross-religiously.

scholarly journals Brightness and image definition of pictures viewed from between the legs

2010 ◽  
Vol 73 (1) ◽  
pp. 144-159 ◽  
Author(s):  
Atsuki Higashiyama ◽  
Miyuki Toga
Keyword(s):  
Definition Of ◽  
Image Definition

scholarly journals Unification of Gravity and Electromagnetism

2021 ◽  
Keyword(s):  
Gravitational Field ◽  
Energy Momentum Tensor ◽  
Mathematical Structure ◽  
Momentum Tensor ◽  
Dirac Field ◽  
Field Equations ◽  
Mathematical Structures ◽  
Gravitational Field Equations ◽  
Definition Of ◽  
Two Sides

Gravity and electromagnetism are two sides of the same coin, which is the clue of this unification. Gravity and electromagnetism are representing by two mathematical structures, symmetric and antisymmetric respectively. Einstein gravitational field equation is the symmetric mathematical structure. Electrodynamics Lagrangian is three parts, for electromagnetic field, Dirac field and interaction term. The definition of canonical energy momentum tensor was used for each term in Electrodynamics Lagrangian to construct the antisymmetric mathematical structure. Symmetric and antisymmetric gravitational field equations are two sides of the same Lagrangian

scholarly journals Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Jingming Xia ◽  
Yiming Chen ◽  
Aiyue Chen ◽  
Yicai Chen
Keyword(s):  
Neural Network ◽  
Image Fusion ◽  
Sparse Representation ◽  
High Frequency ◽  
Medical Image ◽  
Information Transfer ◽  
Color Image ◽  
Low Frequency ◽  
Source Image ◽  
Medical Image Fusion

The clinical assistant diagnosis has a high requirement for the visual effect of medical images. However, the low frequency subband coefficients obtained by the NSCT decomposition are not sparse, which is not conducive to maintaining the details of the source image. To solve these problems, a medical image fusion algorithm combined with sparse representation and pulse coupling neural network is proposed. First, the source image is decomposed into low and high frequency subband coefficients by NSCT transform. Secondly, the K singular value decomposition (K-SVD) method is used to train the low frequency subband coefficients to get the overcomplete dictionary D, and the orthogonal matching pursuit (OMP) algorithm is used to sparse the low frequency subband coefficients to complete the fusion of the low frequency subband sparse coefficients. Then, the pulse coupling neural network (PCNN) is excited by the spatial frequency of the high frequency subband coefficients, and the fusion coefficients of the high frequency subband coefficients are selected according to the number of ignition times. Finally, the fusion medical image is reconstructed by NSCT inverter. The experimental results and analysis show that the algorithm of gray and color image fusion is about 34% and 10% higher than the contrast algorithm in the edge information transfer factor QAB/F index, and the performance of the fusion result is better than the existing algorithm.

Sign in / Sign up

Export Citation Format

Share Document