4 results about "Image histogram" patented technology

The application provides a histogram equalization method for protecting details, comprising the following steps: S1, dividing an input luminance image into blocks; S2, counting a histogram of the image; calculating an average gray level of a current block; S3, histogram redistribution, comprising the following steps: calculating a clipping threshold; histogram clipping and redistribution; S4, calculating a mapping function; S5, adjusting the mapping function; and S6, enhancing the input image. The histogram equalization method solves the problem of over-enhancement in bright areas and dark areas, and ensures that low-contrast images will not lose the details of bright areas and dark areas after being enhanced.

Some of embodiments of the present application provide an image histogram-based target object edge chipping detection method, a device, a medium, and a product. In the embodiments of the present application, an image of a target object is collected, and a central position of the target object in the image is acquired; at least two detection regions of the target object are determined on the basis of the central position; image histograms of the detection regions are acquired; and the image histograms of the detection regions are analyzed, and whether there are clippings at the edge of the target object is determined on the basis of the analysis result.

An image enhancement processing method, device, equipment and medium, obtain the original histogram of the input image and the parameter information of the original histogram, the parameter information includes the number of effective gray levels; correct the original histogram to obtain a corrected histogram, and obtain the parameter information of the corrected histogram, which includes the number of effective gray levels of the corrected histogram; analyze the original histogram and the corrected histogram to determine the mapping range of the corrected histogram; determine the clipping coefficient of the corrected histogram according to the number of effective gray levels of the image histogram and the corrected histogram; clip the corrected histogram using the clipping coefficient, equalize the clipped histogram based on the mapping range, and use the mapping relationship matrix obtained after processing as the histogram mapping rule; perform image enhancement processing on the image to be processed based on the histogram mapping rule, and output the processed image.

The application discloses a kind of multi-aperture optical panoramic image view enhancement method, for under the condition of limited optical field of view, the purpose of realizing large scene target monitoring by multi-aperture optical array image splicing technology, specifically includes the following steps: 1) obtaining multi-aperture image;2) format conversion is carried out to multi-aperture image;3) statistics single-aperture image histogram and multi-aperture image histogram;4) the calibration base value of this aperture is calculated by single-aperture image histogram;5) the segmentation threshold of highlight and low light area is calculated by multi-aperture image histogram;6) the calibration parameter of panoramic image is calculated;7) real-time calibration is carried out to panoramic image using calibration parameter.