177 results about "Ringing effect" patented technology

The subject invention reveals improvement methods for circuits that use a coupled inductor wherein overshoot and ringing associated with leakage inductance of said coupled inductor is entirely eliminated by addition of non-dissipative active clamp networks that clamp each winding during each operating state of a power supply containing said coupled inductor. A further improvement applicable to zero voltage switching circuits that employ an inductor for driving a zero voltage turn on switching transition of a switch enables elimination of said inductor and preserves said zero voltage switching properties by adding leakage inductance to a coupled inductor without any adverse overshoot and ringing effects associated with said leakage inductance. The subject invention also reveals a coupled inductor with enhanced leakage inductance which can be used with said other improvements. Example circuits including zero voltage switching flyback and forward converters which require only one magnetic circuit element are revealed. Zero voltage switching tapped inductor buck and boost converters with a single magnetic circuit element are also revealed.

The invention relates to a sparse representation-based blind restoration method of a broad image, aiming at solving the technical problem that an image restored by the existing broad image blind restoration method is bad in effect. The method has the technical scheme that the broad image is sparsely represented by a fuzzy dictionary and a brilliant image is rebuilt by a brilliant dictionary to restore the image due to the characteristic that the sparse coefficient of the broad image under the fuzzy redundancy dictionary is coincident with that of the brilliant image under the brilliant redundancy dictionary. The illcondition during deconvolution can be avoided, the ringing effect at a high edge during image restoration can be reduced, and the image which is more brilliant can be obtained.

The invention relates to a real video recovery method based on local strategies and belongs to the field of image processing and pattern recognition. The real video recovery method based on the local strategies is characterized by comprising, firstly, extracting the moving foregrounds of the neighboring two frames of a real video, matching the feature points of the moving foregrounds and accordingly estimating the blurring kernels of every pixel point in the foregrounds; secondly, for eliminating object motion blur of space change inside the video, providing an ADM (adaptive delta modulation) algorithm, namely, recovering all the overlapped local blocks and integrating the local blocks into clear video frames. The real video recovery method based on the local strategies can overcome the deficiencies of amplifying noise and introducing ringing effects in traditional methods and achieve good recovery effects on the edges and the details of the video frames.

The invention relates to a visual saliency-based image deblurring method. The method is characterized in that according to a visual attention mechanism, saliency dividing is carried out on a to-be-processed image by utilizing image sharpness as a saliency condition, wherein the saliency dividing includes division of a saliency portion and a non-saliency portion; blurring kernel estimation is carried out on the non-saliency portion so as to obtain a blurring kernel K of the image; and a compensation mechanism is introduced and thus the obtained blurring kernel is applied to the whole to-be-processed image, and a ringing-free effect occurs at the edge of the saliency portion so as to obtain an image processed by deblurring. According to the method provided by the invention, as the visual attention-based saliency study, the blurred image is divided into two portions including the saliency portion and the non-saliency portion based on a saliency map; only the blurring kernel of the non-saliency portion is estimated and that is, the blurred portion of the blurred image is processed so as to maintain the clear portion. Therefore, the influence on blurred images with different blurring degrees of different portions and different blurring directions due to the same blurring kernel estimation processing can be eliminated.

The present invention relates to a method for eliminating a blocking effect in a compressed video signal signal. The method of the invention includes: the encoding step of eliminating a blocking effect by compensating the motion of a signal compressed in block unit to be transmitted; the decoding step of restoring the motion compensated video signal to the original video signal by reducing the prediction residual between the motion compensated video signal and the original video signal and the blocking effect; and the post-filtering step of performing post-filtering in a blocking elimination filter in order to eliminate a blocking effect and ring effect remained in the compensated signal. The equation for obtaining the original pixel is made simple by eliminating the remaining blocking effect and ring effect using a loop/post filter. In addition, normalization parameters can be stored in the look-up table and can be detected according to the difference between pixels adjacent to the original pixel and the size of quantizaiton, whereby the equation for restoring the compressed moving video signal, resulting in excessive smoothing, becomes simpler, and filtering control is made possible by a simple equation, thus making a high speed real time video signal processing possible.

The invention discloses a satellite remote sensing space-time distribution inversion algorithm for column concentration of polluted gas. The satellite remote sensing space-time distribution inversionalgorithm comprises the following steps: selecting a spectral waveband and a resolution ratio; carrying out difference absorption spectrum analysis method inversion; carrying out contrast verificationon ground-based observation and a chemical model simulation result. The satellite remote sensing space-time distribution inversion algorithm for the column concentration of the polluted gas has the advantages that 1) the quantity/position of detected damaged pixels is judged and identified through fitting residuals and the signal-to-noise ratio of a detector is calculated; 2) key parameters including a slit function, spectrum drifting and the like, which are changed in real time after the simulated detector is launched into the sky, can be realized, the inversion errors are reduced and the inversion precision is improved; 3) overlapping influences on different trace gas spectrums in fitting calculation and influences on atmosphere ring effects are eliminated; 4) the satellite remote sensing space-time distribution inversion algorithm can be applied to an atmospheric pollution gas absolute total amount inversion algorithm of ground-based and onboard observation; 5) an actual atmospheric outline of China is combined with land surface emissivity and a detector posture to construct an atmospheric quality factor lookup table which is changed along wavelength.

The invention discloses an image motion blur blind removing method based on gradient domain and depth learning, A guide filter gradient domain image is used as a basic image, A L0 filt gradient domainimage and a corresponding clear image are taken as samples, that clear image is randomly convolution with different blur kernel, and 1% Gaussian white noise is added to generate a motion blur image.The gradient domain image after the guide filter, the gradient domain image after the L0 filter and the motion blur image constitute a training data set; The depth convolution neural network is constructed, and the weight data of the depth convolution neural network is learned from the training data set, and the depth convolution neural network used for motion fuzzy kernel estimation is learned. Extracting the weight data of the network training, obtaining the motion blur kernel, optimizing the deconvolution function of the image prior constraint, and obtaining the motion blur image by using the total variational term. This method can effectively suppress the image ringing effect and reduce the image noise, and the effect of motion blur removal is better.

The invention relates to a turbulence-degraded image blind restoration method based on dark channel and Alternating Direction Method of Multipliers. The method includes the following steps: firstly on the basis of the multiple dimension theory, in each dimension, applying dark channel prior constraint on an image, applying sparse constraint and energy constrain on a point spread function, then using the coordinate descent method and conducting alternating iteration to estimate a fuzzy kernel and the image in current dimension, if the dimensions arrive at the maximum thereof, a final estimated fuzzy kernel is obtained, finally, in combination with a total variation model, using a derivative Alternating Direction Method of Multipliers to make details of the image restored quickly. According to the invention, the method, by using the dark channel prior information of a clear image as a constraint item, can help a cost function to converge to a clear solution in the iteration process, addresses the susceptibility of obtaining a fuzzy solution by using tapered prior information under the Maximum posterior probability in current blind restoration algorithm, such that the method herein can restore more image details, has less ring effect, and effectively increases restoring quality.

An image display device includes a smoothing unit that filters the image data to be displayed. According to one aspect of the invention, only bright parts of the image that are adjacent to dark parts are smoothed, thereby improving the sharpness of dark dots and lines displayed on a bright background. According to another aspect, different primary colors are smoothed with different characteristics, enabling unwanted colored tinges to be removed from the edges of white areas. According to still another aspect, smoothing moves the luminance centroids of all primary colors in a direction in which the display screen is scanned, to reduce ringing effects without needless loss of edge sharpness.

The invention provides a spatial variation point diffusion function smoothing method based on simple lens calculating imaging. The method is characterized by fully using characteristics of sparsity, similarity and the like of a single lens fuzzy kernel; firstly, using a blind convolution algorithm to estimate a fuzzy kernel of each image block, and combining fuzzy kernel TV priori; and then carrying out smoothing and de-noising processing on the fuzzy kernel, and based on a filtered PSF of neighborhood information, replacing an existing PSF. Compared to the prior art, by using the method of the invention, a complex experiment environment and equipment are not needed, the spatial variational PSF can be estimated through combining a correlation algorithm based on a simple lens system; robustness of a deconvolution process is increased; and a noise, a ringing effect and the like are restrained.

The invention refers to an airborne ultrasound testing system for test object (3) containing an ultrasound generator (1,9), an ultrasound receiver (2), a controller for both and a computer assisted test result interface to display an image of a tested test object (3). The ultrasound generator (1) is a resonance-free thermo-acoustic ultrasound generator which does not rely on mechanically deformable or oscillating parts and the ultrasound receiver (2) is a membrane-free optical microphone in an air or gas coupled pulse-echo arrangement or in an air or gas coupled transmission mode arrangement. With this testing system, it is possible to test objects with high precision and without liquids or disturbing ringing effects.