6results about How to "Improve Brightness Difference" patented technology

The invention belongs to the technical field of rock core scanning and earth science, and particularly relates to a columnar rock core outer surface hyperspectral image reconstruction method, which comprises the following steps of: 1, acquiring a columnar rock core multi-angle hyperspectral image; 2, cutting an effective area of the multi-angle hyperspectral image of the columnar core; step 3, carrying out radiation correction on the multi-angle hyperspectral image of the columnar rock core; step 4, geometric correction of the multi-angle hyperspectral image of the columnar rock core; 5, splicing the multi-angle hyperspectral images of the columnar rock core; and step 6, removing an overlapping region of the spliced image to obtain a cylindrical core outer surface hyperspectral image reconstruction result. According to the method, radiation brightness distortion and geometric shape distortion generated in the hyperspectral image scanning process can be effectively corrected, and therefore accurate reconstruction of the hyperspectral image on the outer surface of the whole columnar rock core is achieved.

The present invention relates to a method and system for monitoring pyrenoid algae based on binocular images, and specifically to the field of biological monitoring. The method collects binocular image data with pyrenoid algae as monitoring targets in real time, establishes an adaptive background model to achieve dynamic adaptive following of monitoring targets, generates a disparity map and generates a depth map based on focal length and baseline distance, constructs three-dimensional information of the pyrenoid algae, extracts relevant features of the pyrenoid algae, constructs a deep learning model to perform probability distribution of the health status of the pyrenoid algae, constructs support vector regression to predict the growth rate of the pyrenoid algae, improves the judgment accuracy of the health status of the algae, uses a generative adversarial network to perform AI model training to generate the best pyrenoid algae image, uses Euclidean distance to calculate the similarity between the best pyrenoid algae image and binocular image data, and more clearly understands the matching degree between the generated image and the actual image.

This application discloses a display panel and a display device. The display panel has a first display area and a second display area, wherein the light transmittance of the first display area is greater than that of the second display area. The display panel includes: a substrate; an isolation structure disposed on one side of the substrate and forming a first isolation opening in the first display area and a second isolation opening in the second display area; and a light-emitting unit including a first light-emitting structure layer disposed in the first isolation opening and a second light-emitting structure layer disposed in the second isolation opening. Two or more stacked first light-emitting structure layers are disposed in the same first isolation opening, and the number of first light-emitting structure layers in the first isolation opening is greater than the number of second light-emitting structure layers in the second isolation opening. The display panel disclosed in this application has a small brightness difference.

The invention discloses a display panel and a display device.The display panel is provided with a first display area and a second display area, the light transmittance of the first display area is larger than that of the second display area, and the display panel comprises a substrate; the isolation structure is arranged on one side of the substrate and encloses a first isolation opening located in the first display area and a second isolation opening located in the second display area; the light-emitting unit comprises first light-emitting structure layers arranged in the first isolation openings and second light-emitting structure layers arranged in the second isolation openings, more than two stacked first light-emitting structure layers are arranged in the same first isolation opening, and more than two stacked second light-emitting structure layers are arranged in the same second isolation opening; the number of the first light-emitting structure layers in the first isolation openings is larger than the number of the second light-emitting structure layers in the second isolation openings. The display panel disclosed by the embodiment of the invention has relatively small brightness difference.

The invention discloses an OLED product brightness difference improvement system and method, and relates to the field of brightness compensation, and the system comprises a flexible circuit board and a driving chip. The flexible circuit board is used for connecting different jigs after leaving a factory, acquiring a current driving voltage signal and a current feedback voltage signal when the OLED product is lightened by adopting the current jig, sending the current driving voltage signal to the OLED product, and sending the current feedback voltage signal to the driving chip; the driving chip is used for detecting a current driving voltage signal through a current feedback voltage signal, calculating a voltage difference value according to the detected current driving voltage signal and a pre-stored given driving voltage signal, and compensating an output voltage by adopting the voltage difference value, and the compensated output voltage is used for adjusting a grid voltage of the first driving tube; according to the invention, the brightness difference of the OLED product can be rapidly improved, and the power consumption of the product is reduced.

The application provides a method for enhancing screen display content and a storage medium. The method obtains current ambient illumination and current backlight brightness of a screen. In response to the current ambient illumination being greater than a preset enhancement trigger threshold and the current backlight brightness being full, foreground pixels and background pixels in a display image of the screen are determined. Foreground brightness transformation coefficients and background brightness transformation coefficients are determined according to the current ambient illumination. The brightness of the foreground pixels is raised using the foreground brightness transformation coefficients, and the brightness of the background pixels is lowered using the background brightness transformation coefficients, so as to expand the brightness difference between the foreground and the background, increase the perceived contrast, effectively solve the problem that screen content is invisible under strong light, and avoid conflict with original backlight control logic.