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Super-resolution case, Gaussian blur. a Original image, b one of the low-resolution images (interpolated), c CMA2-SR, d CMA2-C-SR, e bilateral shift-and-add method
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Recently, a blind resolution enhancement method that uses a two-dimensional and single-input multiple-output extension of the constant modulus algorithm has been developed for pure translational motion. The method works well in case of low bit depth unobserved true images, but its performance decreases for high bit depth true images. In this work,...
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![Fig.3 Original and Blurred Image [9]](profile/Shayma-Nourildean/publication/342453211/figure/fig1/AS:906432224456705@1593121691965/Original-and-Blurred-Image-9_Q320.jpg)
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Citations
... W ij represents the final delayed power. Certain information and data support is required in the loading and transmission of data [11,12]. ...
As the speed of high-speed trains continues to increase, the intelligent monitoring of high-speed trains has become a concern of people. This research mainly discusses the application of multimode intelligent control of multidata fusion filtering in high-speed train traffic signal and control. In multimodal intelligent control, BangBang, PI control, adaptive fuzzy PID control, and expert monitoring control under special circumstances can be used, respectively, according to the error and the rate of change of the error, which can achieve the best control effect under safe conditions. Take the allowable speed of ATP as the target speed of the control system, and combine the operation process, operation requirements, traction characteristics, braking characteristics of high-speed trains, and meet the two conditions for improving the operating efficiency of high-speed trains. According to the dynamic expected speed value of high-speed trains, dynamically adjust the switching threshold. This study uses a pulse signal generator to simulate the speed data of the vehicle speed sensor (all pulse data), and then read the speed (pulse) signal data through the pulse signal acquisition card, and display the simulated speed data under the Kingview software. The monitoring computer is used to collect train speed information, display speed information, manage speed information, and output speed information. Then, through OPC technology, the simulation speed data is transmitted to MATLAB software for multidata fusion filtering processing and multimodal control simulation. In the simulation process, the train adopts a multimodal intelligent control response scheme, with a total time of 2183.7 s, which is shortened by 214.5 s and improved by nearly 10%. The multimode intelligent control scheme of multidata fusion filtering proposed in this study can better meet the control of high-speed train traffic signals.
... The appropriate natural image prior Pr(x) will lead to satisfactory restoration and thus has attracted much research interests. Numerous approaches have been developed for modeling image priors and regularizers [1][2][3][4][5][6][7][8][9][10][11][12]. Gradient distribution is simple and effective and thus plays an important role in image restoration applications [13,14]. ...
The heavy-tailed hyper-Laplacian prior has been successfully applied in image restoration tasks, in which the unified distribution is adopted for the whole image. However, the gradient distribution of natural image is reasonably assumed to be spatially variant, e.g., gradient distribution of the region with less texture is more heavy-tailed. In this paper, we propose to model the gradient distribution of natural images as spatially variant hyper-Laplacian. The proposed model adapts the hyper-Laplacian parameters to each pixel. Within the maximum a posterior model, we address the problem using an alternating optimization method. Also the proposed model is free from tedious tuning trade-off parameters. Compared with the deconvolution algorithm using uniform hyper-Laplacian prior, the experimental results validate that the proposed model can achieve better restoration results in terms of visual quality and quantitative indicators.
... The contourlet transform is also used as image enhancement technique which can be processed in two steps namely pyramidal decomposition and directional sub band decomposition [3]. Many filtering methods such as Gabor filter combined with Fast Fourier Transform (FFT) [27], complex Finite Impulse Response (FIR) filters [11] and aperture filters [13] are used for image enhancement and for sharpening. The steerable pyramid transform for color image enhancement is also proposed [4] where the RGB color image is converted into luminance and chrominance factors. ...
Acoustic images captured by side scan sonar are normally affected by speckle noise for which the enhancement is required in different domain. The underwater acoustic images obtained using sound as a source, basically contain seafloor, sediments, living and non-living resources. The Multiresolution based image enhancement techniques nowadays play a vital role in improving the quality of the low resolution image with repeated patterns. Image pyramid is the representation of an image at various scales. In this work, a three level Gaussian and Laplacian pyramids are constructed to represent the image in different resolution. The multiscale representation requires different filters at different scales. The contrast of each image in Gaussian and Laplacian pyramids are improved by applying both histogram equalization and unsharp masking method. The sharpened images are used to reconstruct the enhanced image. The performance measure, peak signal to noise ratio proves that the unsharp masking method applied to difference images of Laplacian pyramid outperforms the other image enhancement methods.
To design an active noise controller, the transfer function between the reference signal and the error signal should be measured and defined. When the noise source operates at specific frequencies, the transfer function can only be measured at the operating frequency and its harmonics. This transfer function has reliable values only at the operating frequency and its harmonic frequencies. The frequency domain controller is implemented as an FIR filter, and the coefficients are calculated using the inverse Fourier transform. At this time, the second half part of the coefficient values of the FIR filter is high due to the insufficient frequency resolution and the unreliable transfer function. As a result, the magnitude and phase response of the filter do not follow the design values. To overcome this problem in filter design, the time window projection onto convex sets (POCS) technique is proposed. POCS technique is utilized repeatedly to make the response of the filter to converge by setting the second half part of the filter to 0, and to reassign the response in the control frequency band. The response of the converged filter was verified by comparing it with that of a time-shifting filter and Wiener filter. As a result, the FIR filter designed using POCS showed high performance, regardless of the magnitude of the disturbance and the reference signal.
