scholarly journals Estimation of the interpolation error for semiregular prismatic elements

2020 ◽  
Vol 156 ◽  
pp. 174-191
Author(s):  
Ali Khademi ◽  
Jon Eivind Vatne
Keyword(s):  
Interpolation Error

Reversible Data Hiding for Encrypted Image Based on Interpolation Error Expansion

2018 ◽  
Vol 9 (4) ◽  
pp. 76-96 ◽  
Author(s):  
Fuqiang Di ◽  
Minqing Zhang ◽  
Yingnan Zhang ◽  
Jia Liu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Side Information ◽  
Signal To Noise Ratio ◽  
Prediction Method ◽  
Interpolation Error ◽  
Encrypted Image ◽  
Error Expansion ◽  
Pixel Correlation ◽  
Embedding Performance

A novel reversible data hiding algorithm for encrypted image based on interpolation error expansion is proposed. The proposed method is an improved version of Shiu' s. His work does not make full use of the correlation of the neighbor pixels and some additional side information is needed. The proposed method adopts the interpolation prediction method to fully exploit the pixel correlation and employ the Paillier public key encryption method. The algorithm is reversible. In the proposed method, less side information is demanded. The experiment has verified the feasibility and effectiveness of the proposed method, and the better embedding performance can be obtained, compared with some existing RDHEI-P methods. Specifically, the final embedding capacity can be up to 0.74 bpp (bit per pixel), while the peak signal-to-noise ratio (PSNR) for the marked image Lena is 35 dB. This is significantly higher than Shiu's method which is about 0.5 bpp.

scholarly journals On interpolation error on degenerating prismatic elements

2018 ◽  
Vol 63 (3) ◽  
pp. 237-257 ◽  
Author(s):  
Ali Khademi ◽  
Sergey Korotov ◽  
Jon Eivind Vatne
Keyword(s):  
Interpolation Error

Effective Recognition of Stereo Image Concealed Media of Interpolation Error with Difference Expansion

2016 ◽  
pp. 157-165
Author(s):  
Hemalatha J. ◽  
Kavitha Devi M. K.
Keyword(s):  
Support Vector Machine ◽  
Reversible Data Hiding ◽  
Stereo Image ◽  
Interpolation Error ◽  
Support Vector ◽  
Histogram Shifting ◽  
Difference Expansion ◽  
Statistical Feature ◽  
High Payload ◽  
Steganalysis Method

In this chapter, a new data conceal technique is anticipated for digital images. The method computes the interpolation error of the image by using histogram shifting method and difference expansion. With the expectation of embedding high payload and less distortion, the undisclosed data has embedded in the interpolating error. Additionally for hiding the data, reversible data hiding technique is used. The histogram deviation is used as evidence for resulting the data conceal in the stereo images. To our best knowledge, by extracting the statistical feature from the image subsample works as steganalysis scheme. To enhance the revealing rate precision the well known support vector machine acts as classifier. In addition to that the experimental results show that the proposed steganalysis method has enhanced the detection exactness of the stego images.

A Method for Compensating Interpolation Error of Absolute Linear Encoder

2015 ◽  
Vol 35 (1) ◽  
pp. 0112008
Author(s):  
乔栋 Qiao Dong ◽  
续志军 Xu Zhijun ◽  
吴宏圣 Wu Hongsheng ◽  
曾琪峰 Zeng Qifeng ◽  
刘阳 Liu Yang ◽  
...  
Keyword(s):  
Interpolation Error ◽  
Linear Encoder

scholarly journals Feedforward Interpolation Error Compensation Method for Field Weakening Operation Region of PMSM Drive

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1052 ◽  
Author(s):  
Ji ◽  
Lee
Keyword(s):  
Error Compensation ◽  
Control Method ◽  
Interpolation Error ◽  
Control Methods ◽  
Field Weakening ◽  
Look Up Table ◽  
Feedforward Controller ◽  
The Look ◽  
Discontinuous Data ◽  
Linear Controllers

This study proposes a field weakening control method with interpolation error compensation of the look-up table based permanent-magnet synchronous machine (PMSM) method. The look-up table (LUT) based control method has robust control characteristics compared to other control methods that use linear controllers for current reference generation. However, it is impossible to store all current references under all circumstances for torque commands. General LUT based control methods use two input parameters. In order to mitigate the effect of discretely stored data, two-dimensional interpolation is used to linearly interpolate values between discontinuous data. However, because the current trajectories of PMSMs are generally ellipsoidal, an error occurs between the linearly interpolated and controllable current references. This study proposes a method to compensate for this interpolation error using a feedforward controller for rapid compensation. The improvement using the proposed method is verified by experiment and simulation.

On the Properties of the Unifying Theory and the Derived Sub-Pixel Efficacy Region

2009 ◽  
pp. 338-346
Author(s):  
Carlo Ciulla
Keyword(s):  
Interpolation Error ◽  
Interpolation Function ◽  
Methodological Development ◽  
Sinc Functions ◽  
Interpolation Functions

Concepts of efficiency, approximation, and efficacy are discussed in this chapter while referencing the existing literature. Frameworks grouping classes of interpolation functions are acknowledged. Also, properties of the unifying theory are addressed along with the characteristics of the methodology employed to derive the SRE-based interpolation functions. Properties of the unifying theory are also discussed and the reasoning pertaining to the methodology is provided. As it can be seen in this book, both properties and characteristics featuring the methodological development of the SRE-based interpolation function are quite consistent across interpolators and it is true that the empirical observations provided through this works have set the grounds for the legitimate assertion that there exist a unifying theory for the improvement of the interpolation error. Therefore, such consistency across the spectrum of interpolation functions embraced through the unifying theory shows that the concepts embedded in both properties and characteristics of the methodology employed to derive the SRE-based interpolation functions remain the same across the diversity of model interpolators. It is also due to acknowledge that Section V of the book is devoted to Lagrange and Sinc functions and will further expand on the consistency just mentioned. The last section of this chapter addresses the Fourier properties of the Sub-pixel Efficacy Region.

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