TH-CD-303-06: Deformable Registration-Based Image Estimation Method for 4D CBCT Using Region-Based PCA

2015 ◽  
Vol 42 (6Part43) ◽  
pp. 3729-3730
Author(s):  
W Harris ◽  
Y Zhang ◽  
F Yin ◽  
L Ren
Keyword(s):  
Estimation Method ◽  
Deformable Registration ◽  
Image Estimation

56.4: A Head-Up Display Illuminator Design and Virtual-Image Estimation Method

2014 ◽  
Vol 45 (1) ◽  
pp. 822-825 ◽  
Author(s):  
Tzu-Ling Niu ◽  
Yu-Chan Hsieh ◽  
Super Liao ◽  
Han-Ping Kuo
Keyword(s):  
Estimation Method ◽  
Virtual Image ◽  
Image Estimation

scholarly journals Payload location for JPEG image steganography based on co-frequency sub-image filtering

2020 ◽  
Vol 16 (1) ◽  
pp. 155014771989956 ◽  
Author(s):  
Jie Wang ◽  
Chunfang Yang ◽  
Ping Wang ◽  
Xiaofeng Song ◽  
Jicang Lu
Keyword(s):  
Discrete Cosine Transform ◽  
Estimation Method ◽  
Image Filtering ◽  
Image Steganography ◽  
Experimental Results ◽  
Jpeg Image ◽  
Image Estimation ◽  
Location Method ◽  
Transform Coefficients ◽  
The Mean

In digital steganography, due to difficulties estimating the JPEG cover image, it is still very hard to accurately locate the hidden message embedded in a JPEG image. Therefore, this study proposes a payload location method for a category of pseudo-random scrambled JPEG image steganography. In order to estimate the quantized discrete cosine transform coefficients in the cover JPEG image, a cover JPEG image estimation method is proposed based on co-frequency sub-image filtering. The proposed payload location method defines a general residual, uses the estimated cover JPEG image to compute the residuals, and then employs the mean residuals of multiple stego images embedded along the same path to distinguish the stego positions. The proposed cover JPEG image estimation method constructs 64 co-frequency sub-images, and then filters the sub-image to estimate the cover JPEG image. Finally, using these methods, payload location algorithms are designed for two common JPEG image steganography algorithms: JSteg and F5. Experimental results show that the proposed location algorithms can effectively locate the stego positions in both JSteg and F5 steganography when the investigator possesses multiple stego images embedded along the same path. In addition, the location results can also be used to recover the steganography key to extract the embedded secret messages.

Coaches estimation method for the athletes (CEM)

1995 ◽  
Author(s):  
Nagykaldi Csaba ◽  
Manohar Singh Badhan
Keyword(s):  
Estimation Method

Theoretical, methodological and practical issues of choice models

2018 ◽  
Vol 1 (1) ◽  
pp. 21-37
Author(s):  
Bharat P. Bhatta
Keyword(s):  
Discrete Choice ◽  
Model Building ◽  
Estimation Method ◽  
Choice Models ◽  
Discrete Choice Models ◽  
Decision Makers ◽  
Model Formulation ◽  
Random Utility Maximization ◽  
The Relationship ◽  
Method Model

This paper analyzes and synthesizes the fundamentals of discrete choice models. This paper alsodiscusses the basic concept and theory underlying the econometrics of discrete choice, specific choicemodels, estimation method, model building and tests, and applications of discrete choice models. Thiswork highlights the relationship between economic theory and discrete choice models: how economictheory contributes to choice modeling and vice versa. Keywords: Discrete choice models; Random utility maximization; Decision makers; Utility function;Model formulation

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