36results about How to "Avoid Noise Amplification" patented technology

A small detail restoration (SDR) system implements an SDR method for processing digital images, especially in DTV applications prior to image resampling process in a scaler unit. The SDR system performs three image processing functions: detail extraction, smoothness checking, and small detail detection on an input image. The results of the three processing functions are combined, amplified and added back to original image to obtain the final resulting output image. The SDR method is applied in the texture or small detail area of image while the strong edge area is not enhanced. For example, in DTV applications, the SDR method is suitable for enhancing the digital image prior to image resampling process in the scaler unit.

A relay station (100) for being operative in a mobile communication system, comprising a receiver (110) for receiving a radio signal from a source, the radio signal comprising symbols representing an encoded information, the encoded information being based on an encoding rule and comprising payload information and redundancy information. The relay station (100) comprising a soft detector (120) for detecting a symbol from the radio signal to obtain soft information, the soft information comprising information on the symbol and reliability information on the information on the symbol. The relay station (100) further comprising a quantizer (130) for quantizing the soft information to obtain quantized soft information and a transmitter (140) for transmitting an information on the quantized soft information to a destination.

Image compression, decompression and motion detection methods are described. Two temporally adjacent frame images, a previous time frame and a current time frame, are compressed in round-off and averaging techniques. Next, according to the compressed data of two corresponding pixels of the two frame images, whether or not the pixel of the current time frame image is of a motion picture is detected. If the pixel is of a motion picture, the compressed pixel data of the previous time frame image is decompressed, and an overdrive process is performed on the decompressed pixel data and the original pixel data of the current time frame image to produce an overdrive output. If the pixel is not of a motion picture, an overdrive process is not performed.

A restoration filter generation device which generates a restoration filter for performing a restoration process on luminance system image data, the restoration process being based on a point-image distribution in an optical system, the luminance system image data being image data relevant to luminance and being generated based on image data for each color of multiple colors, the restoration filter generation device including an MTF acquisition device which acquires a modulation transfer function MTF for the optical system; and a restoration filter generation device which generates the restoration filter based on the modulation transfer function MTF, the restoration filter suppressing an MTF value of image data for each color of the multiple colors to 1.0 or less at least in a region of a particular spatial frequency or less, the image data for each color of the multiple colors corresponding to the luminance system image data after the restoration process.

The invention discloses a mixed regularization azimuth super-resolution imaging method, which is applied in the field of radar imaging and aims at traditional L 2 Regularized imaging method has low resolution, traditional L 1 For the problem of poor anti-noise performance of the regularized imaging method, the present invention first establishes a convolution-like model of scanning radar azimuth echo; then, through L 2 The regularization method preprocesses the echo signal; finally, based on the preprocessing result, L 1 The norm characterizes the target sparse prior information to reconstruct the target function, and the method of iteratively reweighting the norm is used to solve the target function. The innovation of the present invention lies in: combining L 1 Regular term and L 2 The advantages of the regular term, use L 2 The norm weakens the influence of noise and avoids the noise being amplified in the iterative process, and then uses L 1 The sparse nature of the norm improves the azimuth resolution of imaging. This method is different from the conventional L 2 Compared with the regularization method, the azimuth resolution is improved, and compared with the traditional L 1 Compared with the regularization method, the noise is well suppressed.

The invention provides an energy efficient distributed relay option algorithm in a wireless cooperative relay network. The relay network comprises a source node, a target node and a plurality of relay nodes. A method for selecting relay nodes comprises the following steps of: respectively determining the channel states and the energy states of all relay nodes at any time slot according to channel state models and energy state models of the plurality of relay nodes; calculating the system rewards of each relay node through a preset system reward model on the basis of the channel states and the energy states; and selecting a relay node for each time slot, wherein the selected relay nodes ensure that the obtained system reward in the whole data transmission process is maximized.

The invention discloses a seismic data attenuation compensation method in a synchronous extrusion transform domain. In the synchronous extrusion transform domain, the attenuation compensation process is represented as an inverse problem with L1 norm regularization, solving is carried out through an iterative re-weighting algorithm, and thus, stabilized attenuation compensation is realized. Synchronous extrusion transform can suppress diffusion of time frequency energy, a more sparse and highly-localized time frequency representation is obtained, and thus, attenuation compensation on nonstationary seismic signals is facilitated. The method uses the sparse properties of signals in the synchronous extrusion transform domain, the L1 norm regularization method is introduced to stabilize the attenuation compensation process, and a noise amplification problem is thus avoided. The disclosed method is used to realize compensation on seismic attenuation effects, the seismic data resolution can be enhanced, and convenience is brought to subsequent seismic inversion and reservoir description.

This invention relates to image contrast intensifying method, comprising the following steps: first, scanning a piece of image to sequentially calculate brightness variance of two adjacent pixels; then, comparing the variance to pre-setting threshold value, if large, generating a positive force sequence, if smaller, generating a negative force sequence; third, repeatedly operating the generation and accumulating calculation of the positive and negative ones to get a net positive force sequence and a net negative one until judging termination; fourth, forming a net force sequence by net positive one minus added-weight factor net negative one, and integrating and normalizing it to get a spreading force function; fifth, linear combining the spreading force function and original brightness switching function to get a new switching function for adjusting original brightness to intensify image contrast.

The invention relates to a regional new energy power supply structure optimization prediction method and system, and a "total amount-structure-component" three-phase comprehensive optimization prediction model is established. The method includes: predicting a new energy power supply on-grid electric quantity total amount by employing an improved grey prediction model, optimizing a prediction result of the power supply on-grid electric quantity total amount, and obtaining a prediction result X of the new energy power supply on-grid electric quantity total amount; predicting a new energy on-gridelectric quantity structure by employing a dynamic planning prediction model based on error optimization, and obtaining a structure prediction result F of the new energy power supply branch power supply type; and obtaining a component prediction result R of the new energy power supply branch power supply type by employing the obtained prediction result X of the new energy power supply on-grid electric quantity total amount and the structure prediction result F of the new energy power supply branch power supply type. According to the method and system, optimized prediction of a regional new energy power supply structure can be realized, the application range is wide, and the prediction precision is high.

The invention discloses an augmented Lagrangian real-beam radar angle super-resolution processing method. Firstly, a linear frequency modulation signal is transmitted while the real beam is scanning to obtain a two-dimensional echo signal of the radar irradiation area, and then the range-direction matching filter is used. Realize high resolution in the range direction, then construct the signal model of the azimuth echo according to the process of radar antenna scanning and imaging, and then convert the deconvolution problem into a constrained optimization problem according to the minimum noise power influence criterion, and use the augmented Lagrangian The method realizes the solution of the objective function, and iteratively inverts the scattering coefficient of the target to achieve the purpose of azimuth super-resolution of the scanning radar. The invention preferably solves the problem of low azimuth angle resolution in the real beam scanning radar imaging mode.