4results about How to "Suitable for real-time processing" patented technology

The invention relates to an efficient panchromatic sharpening system and method based on a multi-frequency hopping Mama network, and belongs to the technical field of image processing and remote sensing. The efficient panchromatic sharpening system based on the multi-frequency hopping Mama network comprises an image preprocessing module, an adaptive Mama module, a cross-domain Mama module, a multi-scale fusion module and an output module, the adaptive Mama module is used for respectively extracting image frequency characteristics under different scales from the low-resolution multispectral image and the high-resolution panchromatic image after the resolution is adjusted to obtain space and spectral information; the cross-domain Mama module is used for realizing cross-domain Mama module space and spectral feature fusion according to the image frequency features under different scales extracted by the adaptive Mama module, and integrating high-frequency details in the panchromatic image and spectral information in the multispectral image; and the multi-scale fusion module is used for further integrating the multi-scale feature images integrated by the cross-domain Mama module. According to the method, the spatial and spectral features can be extracted more efficiently, and the spatial detail representation of the image is enhanced on the premise of maintaining the spectral consistency.

The application discloses a kind of real-time adjustment method, device and equipment of image sharpness, it includes: receiving image to be handled, according to the sharpness adjustment model of pre-training completion to the image to be handled sharpness parameter adjustment;The image to be handled is preprocessed, and corresponding highlight image and shadow image are obtained;According to the feature extraction module, the highlight image and the shadow image are extracted, and highlight feature and shadow feature are obtained;By the degree modulation module, the preset adjustment parameter is modulated, and a plurality of sharpness modulation parameters are obtained;The highlight feature, the shadow feature and the sharpness modulation parameter are fused and processed, to obtain affine grid, and the affine matrix is obtained by upsampling operation to the affine grid;By the matrix mapping module, the image to be handled and the affine matrix are mapped, to obtain the generated image after sharpness adjustment.

The present application relates to a kind of lossless compression codec of pulse video data and readable storage medium, and the encoding method includes: obtaining the parameter of each frame of pulse video data and initializes frame number and the context of each pixel;Frame by frame processing data, for each pixel, according to its context, prediction value is obtained by prediction;Error between actual value and prediction value is calculated, and error bit string is generated, wherein prediction correct is recorded as 0, and prediction error is recorded as 1;Error bit string is losslessly entropy coded;Finally, the encoding data is packed with frame parameter, and the context of each pixel is updated according to actual value for the prediction of next frame.The present application can effectively capture the space-time correlation of pulse video data based on the adaptive prediction of context, greatly reduce the amount of information that needs to be encoded, and significantly improve compression ratio.

The invention belongs to the technical field of image processing, and particularly relates to a multi-band image cascade fusion method. According to the method, a brightness modulation method is adopted, the gray level or brightness component of one path of single-band image to be fused is normalized and multiplied by the brightness component of the other path of single-band image in the HSV color space format to complete brightness fusion, and then brightness cascade fusion of a third path of image or more paths of images is carried out to complete brightness fusion. The multi-band fusion image retains brightness information of different band images and reflects significant features of the different band images; the color information of the color visible light image is restored or the black and white visible light image / infrared thermal image is colorized, so that the feature details of the fused image are clearer and easier to identify; the method is low in calculation complexity and suitable for real-time processing of an embedded system.