234 results about "Brightness contrast" patented technology

The present invention executes color correction that improves the feeling of depth of a 2D image with ease and by using a preexisting device.

Input image data is first converted into brightness information by a brightness information calculation portion. The interest level within the image is then estimated by an interest level estimation portion based on that information. The vanishing point is then estimated by a vanishing point estimation portion. Next, a depth estimation portion estimates the degree of depth based on the distance from the vanishing point to a pixel i and the interest level of the pixel i, and calculates a depth correction gain value. A corrected image, obtained by controlling a depth correction image process based on the depth correction gain value, is converted to a predetermined image format and outputted by an output portion. Accordingly, by linking an interest level based on the brightness contrast/color contrast/blurriness amount with the depth estimation based on the vanishing point, the occurrence of abnormalities felt with images that do not properly match up with the perspective structure of the vanishing point, images that do not match the visual impression of humans, and so on can be reduced, making it possible to achieve a more natural and improved feeling of depth.

General anaglyphs may be rendered using multiple primary colors to display the first and second images of stereoscopic images. Retinal rivalry in the anaglyphs may be avoided by using transformations which balance the brightness contrast in the first and second images. Certain primary colors may be advantageous for rendering anaglyphs in six, five, four, and three primary colors. A white primary color is advantageous for displaying a monochrome second image with a color first image. General anaglyphs may be dynamically created by a display apparatus using certain transformations and communication with external sources. Four-primary-color anaglyphs may be compressed into three channels for transfer to a display apparatus. A user may select the primary colors of the first and second images and the relative brightness of the second image. Several methods to display general anaglyphs are disclosed.

The invention discloses a method for automatically extracting interesting image regions based on a human visual attention system, which mainly solves the problem that the prior method for extracting interesting regions cannot extract a plurality of interesting regions and edge information. The method comprises the following steps: calculating the local brightness contrast, global brightness contrast and edge of an input image; fusing characteristic graphs corresponding to the three characteristics through global nonlinear normalization merging algorithm so as to generate a contrast graph; calculating the position characteristics of the input image so as to establish a weighting graph; establishing a saliency graph corresponding to the input image through the contrast graph and the weighting graph; and segmenting out the interesting regions of the input image according to the saliency graph. The method can effectively extract a plurality of interesting regions in the input image, and is used in the technical field of image analysis and image compression.

An optical system and method provides at least one, and preferably an array of relatively small, high brightness light sources with a surrounding surface that exhibits brightness, thereby reducing the contrast between the high brightness produced by the light sources and the brightness of their surrounding surfaces. The optical system includes a light waveguide structure that captures a portion of the light from the individual high-brightness light sources, and then re-emits the source light to create brightness in the light sources' surrounding surfaces. The optical system is particularly adapted for use with LEDs, but could be used with other high brightness light sources.

A method for automatically adjusting the exposure effect of a camera comprises the following steps that S1, a statistical thread is created; S2, preview is started, whole-image data are divided into a plurality of sub-regions; S3, brightness information of each sub-region is collected; S4, according to the brightness information of each sub-region, high-brightness regions and low-brightness regions are determined; S5, according to the exposure algorithm, corresponding exposure parameters are adopted for the high-brightness regions and the low-brightness regions; S6, after exposure adjustment is carried out on the regions having different types of brightness in the whole-image data, the step S4 is repeated if the camera is not switched off, and related statistical thread resources are released if the camera is switched off. By means of the method and system for automatically adjusting the exposure effect of the camera, when photographing is carried out on an occasion where the brightness contrast is high, exposure control over the high-brightness regions in an image can be carried out so that overexposure can be prevented, exposure control over the low-brightness regions can be carried out so that underexposure can be prevented, the exposure effect can be improved effectively, detail portions of the image are kept as many as possible, and imaging quality is promoted.

The invention discloses a display substrate and a display device and relates to the technical field of display. The display substrate and the display device are used for improving the display effect of the display device. The display substrate comprises a display area and a non-display area shielded by a shading layer. A semi-light-transmitting layer is arranged on the intersection of the non-display area and the display area. Brightness contrast of the intersection of the display area and the non-display area is weakened through the semi-light-transmitting layer, so that the sawtooth-shaped intersection is fuzzy, part of light emitted by three sub-pixels in the same pixel corresponding to the intersection is allowed to pass, and accordingly the color error phenomenon of the intersection is weakened. The display substrate and the display device are used for forming a non-rectangular display area on the display substrate.

The invention discloses a liquid crystal screen backlight control device, a liquid crystal television and a micro control unit (MCU) chip. The liquid crystal screen backlight control device mainly comprises the components of a frame rate conversion (FRC) chip, the MCU chip which is connected with the FRC chip, and a backlight driving chip which is connected with the MCU chip. The operation process of the liquid crystal screen backlight control device comprises the steps of calculating brightness data of N image sub-areas of a current image frame, converting the brightness data of the N image sub-areas to backlight values of N backlight sub-areas and transmitting the backlight values to the MCU chip; dividing N backlight sub-areas into M backlight areas, searching the gain value which corresponds with each backlight area according to the average value of the backlight values of the backlight sub-areas contained in each backlight area and a preset gain curve, and adjusting the backlight values of the N backlight sub-areas by means of the searched M gain values. Therefore the liquid crystal screen backlight control device, the liquid crystal television and the MCU chip have advantages of searching different gain values for different backlight areas, realizing different-degree light modulation control on the backlight sub-areas, and improving brightness contrast of video data in a displaying process and improving gradation of a displayed picture.

An optical sheet member includes a polarizing plate including a polarizer (A); an optical conversion member (D); and a brightness enhancement film including a reflection polarizer (B), in which the brightness enhancement film has a reflection center wavelength range of 400 nm to 500, and the optical conversion member (D) converts a part of blue light which is transmitted through polarizer (B) and is incident on the optical conversion member (D), and has an emission center wavelength range of 400 nm to 500 nm and which has an emission center wavelength range of 500 nm to 600 nm and red light which has an emission center wavelength range of 600 nm to 700 nm, and transmits a part of the blue light. When the optical sheet member is incorporated in an image display device, front brightness, contrast, and a color reproducing region are enhanced, and color unevenness is reduced.

The invention relates to a television monitoring method based on face identification. The television monitoring method based on the face identification is characterized by comprising the following steps that (1) a television is opened and a camera shooting device is started simultaneously to obtain face information of a user; (2) extraction of facial features of the user is completed through a face identification module, and the situation whether the user is a recorded user or not is judged, if the user is the recorded user, the step (3) is carried out, and if the user is not a recorded user, information of the user is recorded; (3) television parameter information corresponding to the user is taken out and meanwhile a timing module is started; (4) the camera shooting device monitors whether the user is captured or not, if the user is captured, the timing module continues to work, and if the user is not captured, the television is controlled to enter a dormant state. According to the television monitoring method, after the user is judged through the face identification module, television channels, brightness, the contrast ratio and volume liked by the user can be directly taken out, the television is in the dormant state when watched by nobody at the same time, electric energy is saved, the user can also be reminded to pay attention to rest in time to avoid watching for too long time, and health of the user is guaranteed.

The invention discloses an automatic exposure method and a camera module detection method. Automatic exposure is confirmed to be finished by judging that a brightness contrast value is within a brightness standard range, and the environmental change is monitored in real time. With the automatic exposure method, the camera module is detected before shipment of the camera module, whether image brightness of the camera module meets the preset requirement or not under the brightness of different environments is detected by detecting whether the factors affecting output image data of the camera module are qualified or not, detection of the camera module in the shipment process is facilitated, unqualified camera modules are prevented from flowing into the market, and therefore electronic equipment comprising the unqualified camera modules are prevented from being adversely affected.

The invention discloses a method for enhancing an image edge. The method comprises the following steps of: establishing a matrix with a 3x3 brightness value by taking an enhanced point in a YUV image data as a central pixel; calculating gradient brightness values of the central pixel in different directions and judging whether the edge of the central pixel is a bright edge or a dark edge according to the gradient brightness values of the central pixel in the different directions; judging the edge orientation of the central pixel according to the gradient brightness values in different directions; and enhancing the edge of the image data according to the edge orientation of the central pixel and the edge types thereof. In the invention, the image edge is divided into the dark edge and the bright edge and the dark edge and the bright edge are processed separately, so different enhancement values can be superposed to make control and adjustment very convenient and flexible, and the brightness contrast of the edge is enhanced to make the edge look sharper; and meanwhile, the phenomenon that the transient distortion of the edge caused by enhancing the edge can be avoided.

The present invention relates to an anti-counterfeiting paper with a contracting watermark and a production method thereof. The method includes the following steps: (1) a regular watermark file and a glazed watermark file are made in computer software; (2) a glazed watermark substrate is put in a computerized laser engraver, and the glazed watermark file is imported to carry out cutting; (3) a regular watermark engraving is engraved according to the regular watermark file, and a corresponding position for a glazed watermark is reserved on the regular watermark engraving; (4) the regular watermark engraving is pressed in a metal mesh, a corresponding position for the glazed watermark is formed in the metal mesh, and the cut glazed watermark substrate is welded at the corresponding position in the metal mesh, so that a mesh cage is produced; (5) the mesh cage is hoisted to a paper machine to carry out paper making, so that the anti-counterfeiting paper with the contracting watermark is produced. The anti-counterfeiting paper is produced according to the method, the contracting watermark is characterized by clear patterns, distinct brightness contrast, etc., and as the visual effect is enhanced, the anti-counterfeiting effect of the anti-counterfeiting paper with the contracting watermark is greatly improved as well.

Disclosed is a method for determining environmental brightness to appropriately control display brightness according to variations of the environmental brightness in different places in a mobile communication terminal including a camera having an automatic gain control (AGC) function, and a method for controlling the display brightness using the same, including the steps of calculating a luminance average of a center region of a photographed screen corresponding to an AGC reference region and a luminance average of an edge region except for the center region as brightness values from an image signal generated by photographing of the camera, comparing the brightness value of the edge region with a previously-set dark environmental critical value, comparing the brightness value of the center region with the brightness value of the edge region according to the comparison result, and determining that the environmental brightness is one of the bright state and the dark state, extracting luminance elements from an image signal which will be transmitted to a display, calculating a histogram of the luminance elements, and performing brightness contrast stretching, controlling the display brightness by adding or subtracting a previously-set control value to/from the brightness contrast stretched pixels according to the determined environmental brightness, and replacing the brightness-controlled luminance elements by the luminance elements of the image signal which will be transmitted to the display.

The invention relates to the field of image processing and food monitoring, and particularly discloses a method and a device for improving the automatic focusing accuracy and speed of a camera. The method for improving the automatic focusing accuracy and speed of the camera is characterized by sequentially comprising the steps of video image collection, image format conversion, focusing template setting, night vision low-illumination scene definition evaluation value calculation, daytime scene definition evaluation value calculation, peak searching and motor-driven lens focus finding. The threshold value of the change of the definition evaluation value in the hill climbing algorithm is adaptively adjusted according to the brightness contrast, the gradient contrast and the ISO value, the change trend of the current evaluation value can be effectively judged, the peak value can be found more quickly, and the automatic focusing speed and accuracy of night vision and low-illumination scenes are improved.

The invention discloses 3D (three-dimensional) overvoltage confirming method, an LCD (Liquid Crystal Display) driving method, an LCD system and a television and mainly aims at providing a method for precisely confirming the overvoltage parameter under a 3D state. The 3D overvoltage confirming method comprises the following steps: 1.1 measuring the brightness of a plurality of different gray scales at 0 and 255 and at the range from 0 to 255 of an LCD as reference brightness; 1.2 presetting overvoltage needed by change between two different adjacent grey scale images; 1.3 driving the display by utilizing the preset overvoltage to test the brightness of the LCD after a set time for driving of the overvoltage correspondingly as test brightness; 1.4 comparing the reference brightness with the test brightness, if not, regulating the overvoltage according to the comparison result, and returning the step 1.3, and if yes, stopping. According to the invention, the accuracy of the overvoltage is further improved, and the brightness of the LCD is effectively promoted.

The invention provides a digital image brightness contrast enhancement device. The device comprises a brightness information statistics module, a first delay module, a second delay module, a third delay module, a fourth delay module, a brightness projected curve generation module, an interfield brightness relationship judgment module and a brightness control module. The image is divided into three parts for adjustment according to the brightness, and can be adjusted according to the brightness distribution characteristics of different brightness areas, and not only the contrast of the entire image is well promoted, but also the distortion caused during the process of adjusting the position where the adjustment is not required is avoided; the realizability of the hardware is considered at all time during the realization, the complexity is reduced, and the storage space is saved, therefore, the invention is convenient for being integrated to the chip; and in addition, the device further comprises an approximate saturation computation module and a fifth delay module, and the adjustment effect of the contrast control device to the colorful image is better with the consideration of image saturation.

A method and structure for determining overall lightness contrast of an image includes extracting pixel values from the image, calculating an image edge contrast based on the pixel values, calculating an area contrast based on the pixel values, calculating image range based on the pixel values, calculating relative average lightness based on the pixel values, and calculating the overall lightness contrast of the image by combining the edge contrast, the image range, the area contrast and the relative average lightness.

The invention discloses a foggy weather polarization image quality evaluation method. The foggy weather polarization image quality evaluation method includes the following steps that: characteristics of natural scene statistics (NSS) are extracted so as to be used for evaluating a foggy weather polarization original image under a natural scene and a polarization intensity image which is generated through analysis; according to an analysis scene image, natural scene characteristics are mapped into an analysis scene by means of an analysis formula (Stokes) and through utilizing the prior information of natural scene statistics, so that the quality of a typical polarization parameter image can be effectively evaluated; and finally, three kinds of factors including a brightness contrast factor, an inertia moment structural dimension factor, a Stokes parameter-based MSCN factor which are sensitive to the quality of two kinds of scene images can be formed selectively, and corresponding pooling strategies can be formed, and a unified framework for foggy weather polarization image comprehensive evaluation can be formed.

The present invention provides a method for processing tone scale of a digital color image in which the histogram of tone scales (for example, of RGB, YC_rC_b, Lab or Luv) is considered for deciding the semi-S curve. The semi-S curve suits the digital color image and improves the brightness contrast and color saturation for the image output device. A weighting procedure can also be used for compensating those high occurrence colors in the image, and rearrange and analysis the histogram of tone scale, so as to decrease the influence of the high occurrence colors to the calculation and process of tone scale.

The invention relates to a probability propagation based infrared pedestrian salience detection method, which comprises the steps of firstly, performing image preprocessing; secondly, acquiring the MSER based local stability by combining MSER extraction and brightness filtering; thirdly, calculating the brightness contrast of each super-pixel at first, then adding a weight to act as supplement on the basis, and acquiring the brightness contrast combining a vertical edge; and fourthly, building a salience propagation model, and achieving a purpose of salience fusion and optimization through continuously updating in mutual guide manner. According to the steps, an excellent salience detection result can be acquired in allusion to an infrared pedestrian image, the pedestrian is completely highlighted, and the background is almost completely suppressed. The probability propagation based infrared pedestrian salience detection method has practical application values in other image processing fields such as target segmentation, target tracking and target retrieval.

The invention provides a multi-modality image fusion method based on a region and human eye contrast sensitivity characteristic, comprising the following steps of: (1) respectively utilizing a non-subsampled Contourlet transform NSCT to carry out multi-scale decomposition on a source image to be fused to obtain each stage of sub-band coefficient of the source image; (2) respectively formulating a fusion rule of a low-frequency sub-band coefficient and each stage of high-frequency sub-band coefficient according to a human eye vision contrast function LCSF, a human eye vision absolute contrast sensitivity function ACSF, a feeling brightness contrast function FBCS and a local average gradient sensitivity function LGSF to obtain each grade of the sub-band coefficient of a fused image; and (3) carrying out NSCT inverted conversion on the fused coefficient and reconstructing to obtain the fused image. The multi-modality image fusion method disclosed by the invention meets vision properties of a human eye and improves the quality of the fused image to a great extent; and the multi-modality image fusion method has robustness, is suitable for fusing a plurality of types of image sources of infrared and visible light images, multi-focusing images, remote images and the like, and has a wide application prospect.