42results about How to "Eliminate brightness differences" patented technology

The invention discloses a touch control panel and a liquid crystal display device. The touch control panel comprises a plurality of touch control electrodes and a plurality of conductive grids, wherein each touch control electrode is located inside one corresponding conductive grid; at least two touch control electrode groups are formed by the touch control electrodes, at least two conductive network units which are insulated from each other are formed by the conductive grids, and each conductive network unit corresponds to at least one touch control electrode group. Each touch control electrode group and the corresponding conductive network unit can be prevented from being interfered by other touch control electrode groups and conductive network units, and the generated voltage difference is reduced, so that the brightness difference between touch control electrode corresponding areas and conductive network unit corresponding areas during displaying is eliminated.

The invention discloses a brightness compensation method and correction system of a direct type mini-LED backlight module and a display device, and the brightness compensation method of the direct type mini-LED backlight module comprises the following steps: a partitioning step: partitioning the direct type mini-LED backlight module; an upper and lower limit brightness setting step: setting a brightness upper limit and a brightness lower limit which are not compensated; a judgment step: judging whether the brightness of each partition falls into the brightness upper limit and the brightness lower limit; a brightness compensation step, wherein the brightness compensation step comprises a brightness compensation data acquisition step and a brightness compensation data superposition step. By adopting the brightness compensation method provided by the invention, the optical brightness consistency of large-size backlight can be simply and effectively improved, and the design and processing difficulty of large-size backlight display equipment is reduced, so that the requirements on the aspects of a driving chip, production and manufacturing precision and the like are effectively reduced, and the cost is saved.

Provided is an image splicing method and device. The method comprises the steps that position matching is performed on a first image and a second image based on a pyramid-structured normalized orthogonal correlation coefficient and sub-pixel estimation, and the first image and the second image are two adjacent images to be spliced; and an image splicing edge is confirmed according to the result of position matching, and splicing of the first image and the second image is completed along the image splicing edge. Rapid and high-efficiency image splicing can be realized by the technical scheme, and higher splicing precision can also be guaranteed.

The present invention discloses an image recognition method and apparatus. The method comprises the following steps that: analysis signals are obtained from the analysis image of a face image, and the amplitude values of the analysis signals carry information characterizing illumination in the face image; the amplitude values in the analysis signals are normalized; and image recognition is performed on a face image which is reconstructed based on the normalized amplitude values. With the image recognition method and apparatus of the invention adopted, the technical problem of relatively low recognition rate of face recognition can be solved.

A mosaicking method for large breadth cultural heritage image is provided, which relates to the technical field of image matching and image mosaicking. The invention comprises the following processing procedures: 1) aiming at the features of cultural heritage image, adopt an angle point detection method to extract the angle point of image, which can be taken as image feature for the matching of images; 2) calculate gradient of straight line connected between the matching points of nearby images, and; adopt a clustering method to pre-select the correlation points between images by utilizing the similarity of gradient; 3) adopt a best route method to generate a smaller mosaicking route with little pixel value, so as to evade the area with big pixel difference and remove the ghost image; 4) use a brightness component in HIS color space and blend the brightness via weighted function formula according to the mosaicking route. Compared with other mosaicking method, the method provided in the invention is able to greatly improve the speed for image mosaicking, eliminate the brightness difference of image, remove the ghost image in mosaicking and realize ideal mosaicking result.

The invention discloses a point-by-point correction method for an LED display screen, and belongs to the field of LED display screen correction, and the method comprises the steps: S100, obtaining thebrightness value of each LED single lamp on an LED display screen; S200, calculating to obtain a standard brightness value of each LED single lamp based on a gradient descent method according to thebrightness values of all the LED single lamps; S300, calculating a correction coefficient of each LED single lamp according to the brightness value of each LED single lamp and the standard brightnessvalue; and S400, correcting the LED display screen according to the correction coefficient of each LED single lamp. According to the invention, the brightness difference between the LED single lamps can be well eliminated, the uniformity of the LED display screen is remarkably improved, and the display quality is improved.

The invention discloses an image stitching method and device. The image stitching method and device are suitable for a binocular vision mobile robot platform, images collected through two eyes of a robot are stitched through an image stitching technology, the view of the robot can be increased, and the robot can better finish locating and environment reestablishment conveniently. The method includes the steps that image sequence feature points are extracted through an SUPF feature to form a feature vector; the feature vector space is searched, and feature matching points are searched; model parameters are estimated and converted robustly through a random sample consensus (RANSAC) algorithm; coordinate conversion is conducted on the images to be matched through a conversion mode, and the coordinate unification of the image sequence is achieved; the conversion relation met by the image sequence brightness space is estimated according to the brightness value of the corresponding matching points to achieve exposure compensation; the image overlapping region pixel value is determined through a pixel label method, and ghost reduction of the stitched images is achieved; image masks are generated according to the optimal label value set, and Laplacian pyramid fusion is conducted on the images.

The invention discloses a method for correcting the brightness of left and right two-channel images of a dual-channel camera, which comprises the following steps: S1, obtaining the area to be calculated of the left and right two-channel images; Original brightness compensation curve; S3, obtain the value distribution of the original brightness compensation curve; S4, extract the effective extreme value of the value distribution of the original brightness compensation curve; S5, obtain the effective brightness compensation value curve according to the effective extreme value; S6, according to the polynomial parameter The fitting method fits the effective brightness compensation value curve to obtain the fitted parameters; S7, corrects the original brightness compensation curve according to the fitted parameters, and obtains the corrected brightness compensation curve; S8, according to the corrected brightness compensation The curve performs global brightness compensation on the two-channel image to obtain a brightness-corrected image. The invention reduces the debugging difficulty of the analog circuit, has small calculation amount and good correction effect, and is convenient for batch processing.

The present invention discloses a method and device for adjusting brightness. The method includes: determining a first overlapping viewing area and a second overlapping viewing area for a first image and a second image to be spliced; for each first brightness value, Determine the first target brightness value corresponding to the first brightness value; adjust the brightness value of each third pixel point of the first brightness value in the first image according to the first target brightness value corresponding to each first brightness value to The first target brightness value. Because in the embodiment of the present invention, according to each first pixel point of the first brightness value in the first overlapping viewing area, and each second pixel point corresponding to each first pixel point in the second overlapping viewing area The second brightness value of the first brightness value, determine the first target brightness value corresponding to the first brightness value, and then adjust the brightness value of each third pixel point of each first brightness value in the first image to the corresponding first target brightness value The luminance value, therefore, can eliminate the luminance difference at the stitching seam between the first image and the second image.

The invention discloses a real-shot double-viewpoint 3D video optimization method and system oriented to naked 3D display. The method comprises the following steps: inputting a real-shot double-viewpoint 3D video; selecting a left picture or a right picture as a first viewpoint image, and a corresponding right picture or left picture as a second viewpoint image; partitioning the first viewpoint image into basic computing units; searching for matching units in the second viewpoint image based on the basic computing units of the first viewpoint image to compute a parallax field; converting the parallax field based on the basic computing units into a parallax field based on pixels by an edge-directed interpolation method; and normalizing the parallax field based on the pixels, and outputting the first viewpoint image and the parallax field based on the pixels in an image and depth 3D video format. Through adoption of the real-shot double-viewpoint 3D video optimization method and system, complicated later processing can be avoided in order to eliminate differences between the left picture and the right picture of the real-shot double-viewpoint 3D video. Through a semi-automatic parallax computing method, depth information or parallax information of the real-shot double-viewpoint 3D video can be extracted effectively, and the 3D effect of the real-shot double-viewpoint 3D video is kept.