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41results about How to "Avoid image noise" patented technology

Haze removing method for single image based on image haze concentration estimate

The invention discloses a haze removing method for a single image based on image haze concentration estimate. The method comprises the following steps: 1) inputting a haze image; 2) converting the inputted image from the RGB space into the HSV space; dividing SV channel images and calculating the characteristic vectors of the local blocks; 3) with the target of making the lowest image haze concentration, calculating the initialized optimal atmosphere transmission value for the haze image; 4) using a guide filter to refine the optimal atmosphere transmission value; and 5) calculating the refined optimal atmosphere transmission value, the atmosphere light estimation value as well as the brightness value of each pixel in the haze image to obtain a clear image. According to the invention, through the conversion of image haze removal into the problem of haze concentration minimizing, the atmosphere transmission value can be determined accurately so as to remove the haze as much as possible and to avoid the severe halo formation and image noise in the saturated areas. Not only the haze can be eliminated effectively, but also the halo formation and image noise can be controlled not to rise. Therefore, the method can be applied to different complex weathers.
Owner:HUNAN UNIV

Single image haze removal method combined with human vision characteristic

ActiveCN104182943AImprove detail abilityPrecise local normalized brightness change amplitudeImage enhancementSingle imageVisual perception
The invention discloses a single image haze removal method combined with the human vision characteristic. The method includes the following steps that firstly, a haze image is input and a dark channel image of the haze image is acquired; secondly, an atmosphere illumination value of the haze image is estimated according to a dark primary color prior method; thirdly, an initial optimal atmospheric transmission value of the haze image is calculated; fourthly, a guide filter is used for refining, so that a refined optimal atmospheric transmission value is acquired; fifthly, the refined optimal atmospheric transmission value obtained through the fourth step and the atmosphere illumination estimated value are combined with the input haze image, so that a clear image is acquired. According to the method, methods such as saturation region segmentation combined with the human vision characteristic and self-adaption atmospheric transmission value calculation are adopted, haze of each pixel in the haze image is accurately removed, and the detail recovery effect of the image is improved; haze is effectively removed, meanwhile, the halo phenomenon can be restrained, image noise is prevented from being generated, and the method is suitable for different complex weather and is high in calculation speed.
Owner:HUNAN UNIV

Communications control method

ActiveUS7085233B2Prevent image disturbanceHigh ratio of occurrenceError prevention/detection by using return channelTransmission systemsSerial transferHigh ratio
In serial transmission of a mixture of isochronous data and anisochronous data, communications through a transmission path with a high ratio of occurrence of transmission errors may disturb images during streaming reproduction and produce noise in sound. To solve this problem, the isochronous data that has not been successfully received is retransmitted by using an anisochronous region. Thus, a transmission error of the isochronous data can be reduced without impairment of isochronous characteristics of the data.
Owner:REDWOOD TECHNOLOGIES LLC

Lens shadow compensation method and device, storage medium and terminal

The invention discloses a lens shadow compensation method and device, a storage medium and a terminal. The method comprises the steps that an original image and an initial LSC compensation coefficientare acquired; acquiring ambient brightness when the original image is acquired; adjusting the initial LSC compensation coefficient according to the ambient brightness to obtain an adjusted LSC compensation coefficient, the lower the ambient brightness is, the larger the compression amplitude of the adjusted LSC compensation coefficient is than that of the initial LSC compensation coefficient; andperforming lens shadow compensation processing on the original image according to the adjusted LSC compensation coefficient to obtain a processed image. Through the scheme of the invention, the lensshadow compensation degree of the original image can be dynamically and adaptively adjusted according to the ambient brightness, so that the brightness of the surrounding area of the original image isproperly improved, and the image effect is prevented from becoming worse due to the fact that the image noise is increased in a dark environment.
Owner:SPREADTRUM COMM (SHANGHAI) CO LTD

Microwave photonic vector network analyzer and method for measuring scattering parameters of microwave device

Microwave photonic vector network analyzer and a method for measuring scattering parameters of a microwave device are provided. The analyzer comprises a microwave source, wherein a signal loading module, an optical sampling module and a signal processing module are sequentially arranged along a signal output direction of the microwave source; an output end of the signal processing module is respectively connected with a control end of the microwave source and a control end of the optical sampling module; and two test ports of the signal loading module are connected with both ends of a device to be tested. The invention realizes direct sampling and frequency conversion for microwave signals, abandons a superheterodyne structure and / or direct frequency conversion structure in the traditional network analyzer, simplifies the structure of the system while improving the measurement frequency range and avoiding image interference, and reduces system complexity, cost and power consumption.
Owner:SHANGHAI JIAO TONG UNIV
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