7results about How to "Consistent brightness" patented technology

The invention belongs to the technical field of remote sensing image processing, provides a remote sensing image blocking effect elimination method fusing adaptive weight and an anchoring mechanism, and aims to eliminate the blocking effect from a global level, take radiation consistency as a constraint condition, introduce the adaptive weight to carry out differential adjustment on constraint intensity of different overlapped regions, and improve the blocking effect elimination efficiency. Meanwhile, an anchoring mechanism is adopted, stabilization constraint is carried out on an overall solution space, finally, a global equation set is constructed, an iterative least square optimization strategy is used for solving, image radiation consistency and visual continuity are integrally ensured, and the quality of remote sensing images is improved.

This application provides a display panel and a display device. The display panel includes: light-emitting elements, including a first light-emitting element and a second light-emitting element; pixel circuits, including a first pixel circuit and a second pixel circuit, the first pixel circuit being connected to the first light-emitting element and the second pixel circuit being connected to the second light-emitting element; the pixel circuits receive bias adjustment signals, including a first bias adjustment signal and a second bias adjustment signal, the first pixel circuit receiving the first bias adjustment signal and the second pixel circuit receiving the second bias adjustment signal; the area of ​​the first light-emitting element is S1, and the area of ​​the second light-emitting element is S2; the voltage value of the first bias adjustment signal is V1, and the voltage value of the second bias adjustment signal is V2; wherein, (S1-S2)×(|V1|-|V2|)≠0. The technical solution of this application can utilize different bias adjustment signals for bias adjustment, thereby improving display quality.

The application provides a multi-image array splicing method for large cement prefabricated components, and the splicing method comprises the following steps: step one: collecting original images of the cement prefabricated components, dividing the original images into regions, and adjusting the gray scale of each region to obtain preprocessed images; step two: searching for feature points between every two adjacent images in each row in the images, identifying and extracting key feature points in the images through a SIFT algorithm, and then matching the key feature points of the adjacent images through a KNN algorithm to determine the relative position relationship between the key feature points; step three: searching for feature points between every two adjacent images in each column and matching the feature points; and step four: calculating the boundary positions of each image in the splicing area, and then splicing. The application realizes high-precision splicing of the cement prefabricated components, can effectively improve the shape detection precision of subsequent cement components, and improves the product detection quality.

The utility model discloses an illumination optimization lamp group and illumination optimization device, the illumination optimization lamp group comprises at least two basic units, each basic unit comprises a first lead, a second lead and an LED lamp string formed by connecting a plurality of LED lamp beads in series, the first lead comprises a first end and a second end, the second lead comprises a third end and a fourth end, and the third end is connected with the fourth end. The wire resistance of the first wire is the same as that of the second wire, one end of the LED lamp string is electrically connected with the first end, the other end of the LED lamp string is electrically connected with the fourth end, and the first end of the basic unit located at the foremost end is electrically connected with one of the positive electrode and the negative electrode of a power source. And the fourth end of the basic unit at the rearmost end is electrically connected with the other one of the positive electrode and the negative electrode of the power supply. The utility model mainly solves the problem of inconsistent front and back brightness of a plurality of groups of light sources, and by additionally arranging the second lead and changing the current loop, the first lead and the second lead have the same wire resistance, thereby achieving the effect of consistent front and back brightness of the plurality of groups of light sources.

This invention belongs to the field of optoelectronic technology applications and relates to a light-emitting diode (LED) power temperature compensation circuit used in the operation of LEDs. The compensation current provided by this circuit passes through the LED, allowing the LED's light power to remain essentially constant over a wide temperature range. This invention solves the inherent temperature coefficient problem of diodes, and a single circuit can connect multiple LEDs in series. The circuit includes a temperature measurement function, enabling real-time monitoring of the LED's operating environment temperature. This invention features a simple circuit design, uses only conventional components, and has low application costs, making it highly practical in many engineering applications.

The invention discloses an image enhancement method applied to a complex scene, and the method carries out the comprehensive processing of the problems of color shift, brightness attenuation and insufficient contrast of an input image through the steps of color space conversion, color channel modulation, brightness compensation, global contrast optimization, local brightness balance optimization and the like. The method comprises the following steps: firstly, converting an input image into a preset color space, and executing nonlinear adjustment on hue and saturation components; and then the spectral attenuation direction is judged through the color channel average brightness relation, brightness compensation is carried out, and brightness smoothing is realized through a neighborhood statistical mode. The method further performs contrast optimization based on global luminance statistics and utilizes luminance histogram redistribution and local luminance factors to enhance local region details. And finally fusing the global enhancement result and the local enhancement result to obtain an enhanced image with natural color, coordinated brightness and clear details. The method is suitable for image enhancement processing in underwater imaging, low-illumination imaging and multi-type degradation scenes.

The application provides a game image generation system and method based on artificial intelligence empowerment, converts collected multi-dimensional data into an environment state description vector; performs convolutional feature extraction on a reference image in the environment state description vector to obtain a style representation tensor, fuses and reduces dimensions of the style representation tensor to obtain a target style identification vector; performs difference measurement on candidate image features of a candidate generated image and the target style identification vector to obtain a style difference matrix, determines a style consistency penalty term in image generation based on the style difference matrix, and constructs a game image generation model using the style consistency penalty term; and generates a game style image according to the game image generation model and the environment state description vector. The technical scheme provided by the application can extract a target style identification vector from multi-dimensional data flow, and construct a closed-loop control mechanism in which a style difference measurement is used as a penalty term and fed back to a generation model, so as to realize efficient and dynamic generation of game images.