A New Color Conversion Algorithm for Digital Camera Based on Fourier Basis Functions

2008 ◽  
Author(s):  
Xinwu Li
Keyword(s):  
Digital Camera ◽  
Basis Functions ◽  
Fourier Basis ◽  
Conversion Algorithm ◽  
Color Conversion

scholarly journals APPLICATION OF TWO-BIT DITHERED DISCRETE FOURIER BASIS FUNCTIONS IN ELECTRICITY MEASUREMENT

2021 ◽  
Vol 25 (4) ◽  
Author(s):  
Jelena Đorđević Kozarov ◽  
Atila Juhas ◽  
Dragan Pejić ◽  
Platon Sovilj ◽  
Vladimir Vujičić
Keyword(s):  
Fourier Transformation ◽  
Basis Functions ◽  
Fourier Basis ◽  
Theoretical Criterion ◽  
Great Reliability

Paper defines an algorithm for generating two - bit dithered discrete Fourier basis functions (2BDDFBF) used in a Stochastic Digital Discret Fourier Transformation (SDDFT) processor.  Based on the theoretical criterion of marginal precision, and norm and orthogonality, the orthonormality of DFT with 32 harmonics was confirmed by simulation and experimentally. The experiment was detailed and comprehensive, both for standardization and for both types of orthogonality. It was performed in 236800000 points in each of the three variants of orthonormalization. The matching of theoretical and experimental precision is very acceptable and it can be said with great reliability that the proposed algorithm for generating DDFBF is correct. 2BDDFBF play key role in electricity measurement what is emphasized in the paper. .

A Color Error Correction Mode for Digital Camera

2010 ◽  
Vol 44-47 ◽  
pp. 3706-3710
Author(s):  
Han Kun Ye
Keyword(s):  
Color Space ◽  
Digital Camera ◽  
Color Management ◽  
Experimental Sample ◽  
Color Target ◽  
Polynomial Curve ◽  
Engineering Requirement ◽  
Color Error ◽  
Image Production ◽  
Color Conversion

Digital camera is the one of the main devices in the computer and multimedia technology and its color management model is the key to guarantee the color consistency in the succedent image production and transfers. The paper presents a color conversion model for digital camera based on polynomial curve generation. First, color rendering principle of digital camera is analyzed. Then digital camera data is pretreated to a unitary field to deduce final model. Third, standard color target is taken for experimental sample and substitutes color blocks in color shade district for complete color space to solve the difficulties of experimental color blocks selecting; Fourth, the model using polynomial curve generation algorithm to correct color error is deduced; Finally, the realization and experiment results show that, compared with some methods which have relatively high accuracy, the algorithm can improve color conversion accuracy and can satisfy the engineering requirement in digital camera color management

Two Spectral Reconstruction Methods and their Accuracy Comparison

2012 ◽  
Vol 239-240 ◽  
pp. 140-144 ◽  
Author(s):  
Yuan Hong Zhu ◽  
Bo Li ◽  
Qiao Chen ◽  
Song Hua He
Keyword(s):  
Evaluation Criteria ◽  
Digital Camera ◽  
Color Difference ◽  
Basis Functions ◽  
Reconstruction Accuracy ◽  
System A ◽  
Spectral Reconstruction ◽  
Reconstruction Methods ◽  
Accuracy Comparison ◽  
Pseudo Inverse

Proposed and implemented two complete multi-channel spectral reconstruction methods based on basis functions and pseudo-inverse, and using RGB digital camera built up a reconstruction system. A set of algorithms that enable virtually complete digital response value correction were proposed. The root mean square error and color difference as evaluation criteria to compare the reconstruction accuracy of two methods, and experiment show that the accuracy of both methods is basically the same, but the basis function method is more suitable for multi-spectral reconstruction operations.

Function Representation of an Image by Means of CSRBF: An Application for Resolution Conversion

2004 ◽  
Author(s):  
M. Kitago ◽  
Y. Taniguchi ◽  
I. Hagiwara
Keyword(s):  
High Precision ◽  
Cell Phone ◽  
Reduction Rate ◽  
Digital Camera ◽  
Basis Functions ◽  
Image Resolution ◽  
Scattered Data Interpolation ◽  
Function Representation ◽  
Image Format ◽  
Rate Comparison

As the need to use various devices increases today (e.g. computer monitor, digital camera, cell phone), the production of images at different resolutions is needed. In this paper, we propose CSRBF (Compactly-Supported Radial Basis Functions) image format to store CSRBF coefficients. CSRBF is popular for scattered data interpolation. Since this image format has function representation of an image, resolution conversion can be easily performed with high precision. Because resampling is easy once it performs function representation by means of CSRBF. Furthermore, in an environment with restriction such as storage or network, we propose CSRBF using wavelet transform preprocessing (WTP) to reduce points for image compression. This technique can reconstruct a high precision image with less image degradation than the conventional techniques. We show the superiority by data reduction rate comparison of CSRBF interpolation and conventional techniques.

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