Multi-resolution Analysis Of The Imaging System Modulation Transfer Function Compensation Research

Researchers have paid much attention to the research on scene information inversion measurement by optical imaging measurement technology.This method applies the image data of optical imaging system output and system calibration data to calculate the inversion of related physical quantities.This method has the advantage of multi-detector space imaging and become an effective measurement method.However,the unstable working environment of optical imaging platform results in imaging blurring and further affects the measurement accuracy.In order to solve this problem,this paper studies the modulation transfer function compensation of fuzzy luminous environment based on multi-resolution analysis technology.The main contents as follows:Firstly,the influence of image blur on luminous environment measurement accuracy is analyzed by image multi-resolution analysis technology.Based on the definition of image gray value,the influence of different fuzzy degrees on measurement precision of luminous environment is calculated.Secondly,the principle of the modulation transfer function is studied.The results show that: the MTF measuring error by slanted edge method include the deterministic error and uncertainty error.The deterministic error is due to the improper selection of the edge angle,and uncertainty error is caused by random noise.pointed out that the reasonable estimation of edge spread function is the key to solve the measurement precision problem.The regularization slanted-edge method is proposed.This method refers to the energy functional model of ESF estimation based on the Tikhonov regular term.Combined with the triangle unequal precision weight,ESF is solved by the variational principle.The regularization slanted-edge method has strong anti-noise performance and high measurement precision.In terms of modulation transfer function compensation,this paper intensive studied the theory of image multi-resolution analysis,and focus on the image denoising and deblurring algorithm based on Contourlet Transform.The iterative Contourlet Cycle spinning algorithm is optimized to solve the unbalanced relationship between objective evaluation index and subjective visual effect.The modulation transfer function of degraded image is compensated by the image multi-resolution analytic technique based on Contourlet Transform.The experimental results show that: This method can compensate the decrease of MTF curve in middle and high frequency,improving the measurement accuracy of luminous environment image.Finally,the method is applied to the road luminous environment measurement image captured by motion imaging platform.The experimental results show that: this method perform well.In conclusion,the research in this paper has certain significance for the development of image processing technology and optical environment measurement technology.