7 results about "Image enhancement" patented technology

The invention discloses a low-illumination monitored image enhancement method based on similar scenes. The method includes obtaining high-illumination images similar to low-illumination monitored images to construct a similar scene image library, wherein the sizes of images in the image library are the same with those of the low-illumination monitored images; pre-processing the low-illumination monitored images to improve image quality; searching an image the most similar to the low-illumination monitored images to be enhanced as a reference image in the similar scene image library, wherein the image the most similar to the low-illumination monitored images to be enhanced has the smallest pixel difference sum with the low-illumination monitored images to be enhanced in the similar scene image library; and matching a histogram of the low-illumination monitored images to be enhanced with a histogram of the reference image by using a histogram matching method so as to enhance the low-illumination monitored images. The definition of the low-illumination monitored images enhanced by the method can be improved.

The invention relates to a local low-visibility image enhancement method, and belongs to the technical field of computer vision. According to the method, firstly, the brightness of the image is balanced and visualized to obtain the high-visibility image, then the saturation of the high-visibility image is compensated to improve the color purity, and finally, the high-visibility image with bright color is obtained. According to the method, detail information of a dark area can be highly seen again, gradient consistency is greatly reserved, meanwhile, colors are brighter and more natural, and more importantly, compared with other algorithms of the same type, the algorithm has higher efficiency.

The invention discloses a medical image enhancement method, which is realized based on a bidirectional generative adversarial network architecture. The architecture comprises two generator/discriminator pairs, and generator learning converts an image in a low-quality image domain or a high-quality image domain into a corresponding image in the high-quality image domain or the low-quality image domain. A discriminator distinguishes a real image in a low-quality image domain or a high-quality image domain from an image converted from the real image in the high-quality image domain or the low-quality image domain, the architecture introduces constraint terms in an objective function of a bidirectional generative adversarial network, and the constraint terms include an illumination regularization term and a structure loss term. The invention provides a novel medical image enhancement frame, and the imaging quality of the medical image is improved.

The invention discloses a method for counting microparticles on glass. The method comprises steps as follows: (S1) image display: an image of sample glass is input into a computer by an image samplingprocessing device containing a black and white camera, data images are captured in real time through a capture function in EmguCV software and displayed in a control image box; (S2) image enhancement: each frame of the acquired images is preprocessed, so that particles of the images are more prominent; (S3) particle recognition: white bright points which can be seen directly in the black and white camera are subjected to edge detection, the longest edge of each particle is calculated, and the number of current closed regions is counted; (S4) real-time display: an XY coordinate system is drawnon an interface with X representing time and Y representing the number of particles, and the current number of particles is displayed in real time. The method for counting the microparticles on the glass is high in detection efficiency and good in detection effect.

The invention relates to a parallel video image dynamic range enhancement device and method, and belongs to the technical field of video image enhancement. The invention provides a parallel image dynamic range enhancement device and method. The device is mainly used for achieving low-cost and high-speed parallel table look-up, and can achieve the reconstruction of hardware according to an image processing algorithm. According to the method, image gray histograms are put into statistics according to a conventional histogram equalization algorithm, so that a mapping curve can be generated; and then gray scale transformation is completed in a parallel table look-up mode, and dynamic range enhancement is realized, so that real-time calculation of a gray scale mapping function and parallel grayscale mapping operation are realized.