7results about How to "Small color deviation" patented technology

The invention discloses a noise model obtaining method, a denoising neural network training method, a noise model obtaining device, a denoising neural network training device, electronic equipment and a computer readable storage medium, and the noise model obtaining method comprises the steps: shooting a flat field frame under different sensitivities and different light incoming amounts, modeling shot noise NP, and obtaining a noise model NP; the relation between the ISO and the system gain K is calibrated; shooting dark field frames under different ISOs, and modeling black level error noise NBLE to calibrate the black level error noise under different ISOs; modeling row noise Nrow and calibrating the relationship between different ISO and the noise parameter sigma row; modeling a fixed pattern noise (NFPN); modeling and reading noise Nread, and calibrating the relationship between different ISO and the shape parameter lambda and the noise intensity sigma TL; and obtaining a target noise model according to the model of the NP, the relationship between the ISO and the system gain K, the model of the NBLE, the model of the Nrow, the relationship between the different ISO and the sigma row, the model of the NFPN, the model of the Nread and the relationship between the different ISO and the shape parameters lambda and sigma TL.

The invention relates to the technical field of color matching devices, in particular to an intelligent color matching device. Which comprises a spraying gun body, the spraying gun body drives a pressurizing valve through a trigger, and a conical spraying head is arranged at the output end of the spraying gun body, and is characterized in that a containing cylinder is connected to the bottom end of the spraying gun body in a fastened mode, and a plurality of coating storage tanks are connected into the containing cylinder in a fastened and clamped mode; the multiple coating storage tanks are communicated with a break-through type multi-way electromagnetic valve through multiple independent coating channels, the top end of the break-through type multi-way electromagnetic valve is communicated with a conical spray head through a Y-shaped discharging hose, the other end of the Y-shaped discharging hose is communicated with the output end of a pressurizing valve, and color recognition sensors are arranged on the two sides of the conical spray head. The invention aims to solve the technical problems that the color precision and stability are poor, and the required color ratio cannot be quickly and accurately prepared.

The application belongs to the technical field of ink, and particularly relates to a preparation method of a photosensitive color-changing ink, comprising the following steps: adding modified photosensitive color-changing pigments, dispersants, defoaming agents, water-based polyurethane, thickening agents, leveling agents and cosolvents into water in sequence to obtain the photosensitive color-changing ink, and providing the mass ratio of the photosensitive color-changing ink. The application solves the defects of the existing photo-variable ink, utilizes the transparency and stability of the modified photosensitive color-changing pigments, thickening agents and defoaming agents to form stable light transfer, directly acts on the modified photosensitive color-changing pigments, and simultaneously, the photoelectric response of zinc oxide and the color-changing system of polyaniline form a synergistic photosensitive color-changing effect, so that a specific photosensitive color-changing ink is obtained.

The invention relates to the technical field of image recognition, in particular to a quality detection and recognition method based on an image color conversion matrix. In the preparation stage, a parameter threshold value, a reference color A and a sample color B are determined, color mapping is executed by calculating a conversion matrix M, a picture of a training model is converted into a color space, a target object is shot in a parameter environment, and after the target object is converted into a numerical value in the color space, a quality result is output through the training model. According to the method, a global image processing strategy is adopted, and the change of a single pixel value in a color space is not focused, so that the comprehensiveness and quality of color processing are improved; the problem of color inconsistency in quality identification can be effectively solved. Besides, for the target object subjected to quality identification, an output result can be obtained only by training the model in the environment, a large amount of data and complex parameter adjustment are not needed, and the scene adaptability and practicability of the model are enhanced.

The invention belongs to the technical field of shading materials, and particularly relates to an anti-aging high-stability full-shading film and a preparation method thereof. The anti-aging and high-stability full-shading film is prepared from the following components in parts by weight: 38 to 50 parts of modified polyurethane TPU, 10 to 15 parts of PBT, 15 to 18 parts of epoxy resin, 5 to 8 parts of a slipping agent, 8 to 16 parts of shading filler, 3 to 5 parts of a light reflection aid and 1 to 1.5 parts of an antioxidant. According to the anti-aging high-stability full-shading film, the problems that the weather resistance of shading films is reduced after long-term use, so that the stability of the products is poor, the shading and sunscreen effects of the shading films become poor quickly after the shading films are used for a period of time, and the requirements of existing consumer markets are difficult to meet are solved, and the anti-aging high-stability full-shading film is high in shading rate, high in stability and good in stability. The paint has good long-term stability and good weather resistance, and is suitable for commercial popularization and application.

The invention relates to the technical field of printing color difference rapid adjustment, and discloses a ceramic ink jet printer printing color difference rapid adjustment method, which comprises the following steps: carrying out image acquisition on a printing color and a standard color through an image acquisition device; the collected image data is preprocessed; performing color comparison on the color features extracted from the image data; a comparison result of color features in collected image data is evaluated, printing colors and standard colors are collected, the image recognition technology is used for comparing the single colors with the standard colors one by one, preliminary compensation parameters are obtained, then the printer is preliminarily adjusted and compensated, the adjusted colors are printed again, comparison is conducted, and the printing quality is improved. And the color matching process is full-automatic, and the efficiency and the accuracy are improved, so that the color difference between the pattern color printed on the surface of the ceramic and the standard color is reduced, the overall quality of the ceramic is further improved, and the aesthetic requirements of people on the ceramic and the patterns and the colors on the surface of the ceramic are met.

The invention relates to an underwater image enhancement method, system and device and a medium, and is applied to image processing in water ecology monitoring, and the method comprises the steps: carrying out the multi-scale decomposition of a source image of an underwater environment, and obtaining a plurality of to-be-processed images with different resolutions; respectively carrying out detail enhancement on the source image and the plurality of to-be-processed images to obtain a plurality of detail images; carrying out fusion reconstruction on the plurality of detail images to obtain a preliminary enhanced image; and performing color correction on the preliminary enhanced image to obtain a target enhanced image. The problems that in the prior art, processing is generally limited to a single problem, the problems of water scattering and color distortion cannot be solved at the same time, adaptive adjustment cannot be carried out according to specific features of an underwater image, the image enhancement effect is not stable, and consequently the definition of the processed image is low, and the color deviation is large are solved.