1670results about "Brightness and chrominance signal processing circuits" patented technology

An imaging system substantially simultaneously acquires z-depth and brightness data from first sensors, and acquires higher resolution RGB data from second sensors, and fuses data from the first and second sensors to model an RGBZ image whose resolution can be as high as resolution of the second sensors. Time correlation of captured data from first and second sensors is associated with captured image data, which permits arbitrary mapping between the two data sources, ranging from 1:many to many:1. Preferably pixels from each set of sensors that image the same target point are mapped. Many z-depth sensor settings may be used to create a static environmental model. Non-correlative and correlative filtering is carried out, and up-sampling to increase z-resolution occurs, from which a three-dimensional model is constructed using registration and calibration data.

A video, audio and graphics system uses multiple transport processors to receive in-band and out-of-band MPEG Transport streams, to perform PID and section filtering as well as DVB and DES decryption and to de-multiplex them. The system processes the PES into digital audio, MPEG video and message data. The system is capable of decoding multiple MPEG SLICEs concurrently. Graphics windows are blended in parallel, and blended with video using alpha blending. During graphics processing, a single-port SRAM is used equivalently as a dual-port SRAM. The video may include both analog video, e.g., NTSC / PAL / SECAM / S-video, and digital video, e.g., MPEG-2 video in SDTV or HDTV format. The system has a reduced memory mode in which video images are reduced in half in horizontal direction only during decoding. The system is capable of receiving and processing digital audio signals such as MPEG Layer 1 and Layer 2 audio and Dolby AC-3 audio, as well as PCM audio signals. The system includes a memory controller. The system includes a system bridge controller to interface a CPU with devices internal to the system as well as peripheral devices including PCI devices and I / O devices such as RAM, ROM and flash memory devices. The system is capable of displaying video and graphics in both the high definition (HD) mode and the standard definition (SD) mode. The system may output an HDTV video while converting the HDTV video and providing as another output having an SDTV format or another HDTV format.

A device and method for automatically adjusting an image condition in a display is, disclosed. The present device and method optimizes the image condition of a display according to individual preferences by taking into account the brightness and color temperature set initially by a user. Particularly, the present invention includes a photo sensor to detect the environmental illumination and a micro processor utilizing the detected data to appropriately adjust the image condition with respect to a user <CUSTOM-CHARACTER FILE="US06292228-20010918-P00001.TIF" ID="CUSTOM-CHARACTER-00001"> preference.

A solid-state imaging device includes a color filter unit disposed on a pixel array unit including pixels two-dimensionally arranged in a matrix and a conversion processing unit disposed on a substrate having the pixel array unit thereon. The color filter unit has a color arrangement in which a color serving as a primary component of a luminance signal is arranged in a checkerboard pattern and a plurality of colors serving as color information components are arranged in the other area of the checkerboard pattern. The conversion processing unit converts signals that are output from the pixels of the pixel array unit and that correspond to the color arrangement of the color filter unit into signals that correspond to a Bayer arrangement and outputs the converted signals.

Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and / or storing. The image file may be decoded to generate a restored HDR image free of the color alterations.

A method of processing image data includes generating image data including luminance and chrominance data representing a selected object, separating the luminance and chrominance data, storing the separated luminance and chrominance data in corresponding separate spaces in memory, and separately compressing the stored luminance and chrominance data.

A ringing area detector classifies the input image into two regions: a mosquito noise region (i.e. filtering region) and a non-mosquito noise region (i.e. non-filtering region), and uses this classification information to adaptively remove the mosquito noise in a mosquito noise reduction system. The mosquito noise reduction system includes a ringing area detector, a local noise power estimator, a smoothing filter, and a mixer. The ringing area detector includes an edge detector, a near edge detector, a texture detector, and a filtering region decision block. The ringing detection block detects the ringing area where the smoothing filter is to be applied. The local noise power estimator controls the filter strength of the smoothing filter. The smoothing filter smoothes the input image. The mixer mixes the smoothed image and the original image properly based on the region information from the ringing area detection block.

A deinterlacing method and apparatus for digital image data is disclosed. In the present invention, one of various interpolations appropriately performed according to a detected extent and direction of motion in a pixel to be interpolated. Thus, a screen quality can significantly be improved.

An imaging system substantially simultaneously acquires z-depth and brightness data from first sensors, and acquires higher resolution RGB data from second sensors, and fuses data from the first and second sensors to model an RGBZ image whose resolution can be as high as resolution of the second sensors. Time correlation of captured data from first and second sensors is associated with captured image data, which permits arbitrary mapping between the two data sources, ranging from 1:many to many:1. Preferably pixels from each set of sensors that image the same target point are mapped. Many z-depth sensor settings may be used to create a static environmental model. Non-correlative and correlative filtering is carried out, and up-sampling to increase z-resolution occurs, from which a three-dimensional model is constructed using registration and calibration data.

A video display apparatus generates luminance information for individual frames of a video signal from histograms of the luminance component of the video signal, and classifies the content of the video signal on the basis of this information. Color saturation information is also generated from color saturation histograms, and scene changes are detected. Video correction parameters and display control parameters are derived from the content classification and color saturation information. The video signal is corrected according to the video correction parameters, and displayed according to the display control parameters. Display characteristics suitable for the video content are thereby obtained. The parameters are changed when a scene change is detected, so that the viewer is not disturbed by the change in video display characteristics.

The invention achieves a visual processing device that can execute precise contrast adjustment on image signals that have been input and that does not cause discrepancies in the output timing of the image signals that are output. The visual processing device is provided with a gain-type visual processing portion that outputs a first gain signal having predetermined gain characteristics with respect to the input image signal, and a correction portion that corrects the input image signal based on the first gain signal.

The invention provides an automatic exposure adjusting method and system. The method at least comprises the steps of obtaining a current image, and carrying out statistics on the pixels contained in a bright area of the image and the pixels contained in a dark area of the image and the brightness of the pixels; calculating the pixel proportion of the bright area and the pixel proportion of the dark area according to a statistical result; adjusting the exposure parameters of imaging equipment according to the brightness value of the current statistical pixels and a preset brightness threshold value if at least one of the pixel proportion of the bright area and the pixel proportion of the dark area is larger than or equal to a preset proportion; continuously carrying out statistic if the pixel proportion of the bright area and the pixel proportion of the dark area are both smaller than the preset proportion until the brightness values of the pixels reach the preset brightness threshold value. According to the automatic exposure adjusting method and system, operation complexity and operation amount are both low in the exposure state judging process, the exposure state of the image can be judged fast, and the instantaneity of exposure control over the image can be improved at the same time.

A converting system and a converting method of three-color data to four-color data are provided. The converting system includes: a first calculating part configured to calculate a saturation value and a luminance enhancement coefficient according to inputted RGB values, a second calculating part configured to calculate luminance-enhanced RGB values according to the luminance enhancement coefficient and the inputted RGB values, a white determining part configured to use a minimum value of the luminance-enhanced RGB values as an outputted W value, and a three-color determining part configured to calculate outputted RGB values according to the luminance-enhanced RGB values and the outputted W value. The invention can obtain optimal outputted W values for different inputted RGB values and maximally increase the transmittance of the display apparatus. Accordingly, the display apparatus can increase the saturation of display image while enhance the transmittance.

In a video system, a method and system for cross-chrominance removal using motion detection are provided. A luma motion detector in a motion adaptive deinterlacer may be used to determine a chroma current motion for a pixel in a video frame. The chroma current motion may be modified, based on a chroma motion mechanism comprising of an edge detection, a back-off, and a motion biasing, when the output pixel is found to be in a static chroma area of the video frame. A static chroma threshold parameter may be used to determine whether the output pixel is in a static chroma area. A cross-chroma reduction determined based on the current chroma motion, may be blended in the motion adaptive deinterlacer with a spatial average approximation of the output pixel to remove the cross-chrominance from the output chroma.

The invention discloses an adaptive colour image processing method and an adaptive colour image processing system. The method comprises the following steps of: reading an image to be processed; carrying out overall adaptive transformation on the luminance component of the image to be processed through a non-linear inverse S-type function to obtain an overall luminance enhancement image; regulating the local contrast ratio of the overall luminance enhancement image according to the corresponding relation between the central pixel luminance and the neighborhood pixel luminance of the overall luminance enhancement image to obtain a local luminance enhancement image; and carrying out linear colour restoration on the image to be processed according to the ratio between the luminance components of the local luminance enhancement image and the image to be processed to obtain a colour enhancement image. By the method and through the system of the invention, the luminance of the image to be processed can be adaptively regulated; the contrast ratio of a back area and a bright area is enhanced at the same time; the local contrast ratio of the image to be processed can be effectively enhanced; the over-enhancement phenomenon generated at the edge of the image is inhibited; the colour of the image is well kept; and better enhancement effect is achieved.

A method of converting image signals for a display device including six-color subpixels is provided, which includes: classifying three-color input image signals into maximum, middle, and minimum; decomposing the classified signals into six-color components; determining a maximum among the six-color components; calculating a scaling factor; and extracting six-color output signals.

An image processing apparatus is provided which offers higher versatility than conventional image processing apparatuses. When an input signal to a spatial filtering block is a monochrome signal that contains Y component only, a selector selects its input terminal and a selector selects its input terminal. Then, a low-pass filter output signal of a programmable spatial filter is inputted to a spatial filter, and a low-pass filter output signal of the spatial filer is inputted to a spatial filter. That is, the programmable spatial filter and the spatial filters are connected in series (in cascade), and the cascade-connected three spatial filters perform filtering operation. In this example, low-pass filters with 5×5 taps are connected in cascade in three stages, which enables low-pass filtering with 13×13 taps.

An efficient and non-iterative post processing method and system is proposed for mosquito noise reduction in DCT block-based decoded images. The post-processing is based on a simple classification that segments a picture in multiple regions such as Edge, Near Edge, Flat, Near Flat and Texture regions. The proposed technique comprises also an efficient and shape adaptive local power estimation for equivalent additive noise and provides simple noise power weighting for each above cited region. An MMSE or MMSE-like noise reduction with robust and effective shape adaptive windowing is utilized for smoothing mosquito and / or random noise for the whole image, particularly for Edge regions. Finally, the proposed technique comprises also, for chrominance components, efficient shape adaptive local noise power estimation and correction.

Provided are an image composition apparatus for composing color images with black-and-white images including infrared components, and an image composition method thereof. The image composition method includes generating a first image signal with color information and a second image signal including infrared components without color information, dividing the first image signal into a brightness signal and a color signal, composing the brightness signal of the first image signal with a brightness signal of the second image signal to generate a composed brightness signal, and composing the composed brightness signal with the color signal of the first image signal to generate a color image.

The invention discloses an image brightness enhancement method and apparatus for solving the problem in the prior art that after supplementary infrared light is irradiated, the color of a video imagecannot be restored, such that the collected video image becomes a black-and-white image. The method comprises the following steps: a camera device controls the opening or closing of a fill-in light according to a received control single; when controlling the closing of the fill-in light, the camera device controls a light sensing unit to collect color image data containing color information; whencontrolling the opening of the fill-in light, the camera device controls the light sensing unit to collect brightness image data containing brightness information; and the camera device synthesizes the color image data with the brightness image data to generate image comprising the color information and the brightness information.

A tone transformation apparatus of the present invention extracts or generates a signal Z[i, j] according to a pixel value of a pixel [i. j] of an original image or a pixel value of its immediate neighborhood. Further, it extracts or generates a signal ZL[i, j] according to a pixel value of a neighborhood area of the pixel [i, j]. A transformation gain k for the pixel [i. j] is determined according to these signals Z, ZL. For the tone transformation, a color component or the like of the pixel [i, j] is multiplied by the transformation gain k for the pixel [i. j].

To generate a color image exhibiting few blocked-up colors or little color saturation. It is provided a image processing apparatus for processing an original image that is picked up, comprising: an image input part for inputting N original images having different exposure levels, where N is an integer of two or more, which are obtained by picking up images of the same subject in one of a simultaneous manner and a time-series manner; and a composite processing part for generating M output images, where M is an integer of one or more and less than N, by composing the N original images. The composite processing part compares color component signals in each corresponding pixel position with each other between the N original images, and sets the color component signal that produces a higher chroma as a color component signal in each pixel position of the output image.

Various embodiments provide tone mapping of images and video from one dynamic range to an available dynamic range of a display device while preserving or enhancing image details. According to one embodiment, an enhanced tone mapping module is configured to decrease a luminance of an image or video from a high dynamic range to a standard dynamic range. Conversely, according to one embodiment, an enhanced inverse tone mapper to increase a luminance of an image or video from a standard dynamic range to a high dynamic range.

Techniques for creating a High Dynamic Range (HDR) image within a consumer grade digital camera from a series of images of a scene captured at different exposure levels, and displaying the HDR image on the camera's built-in display are provided. The approach employs mixing images of the series to incorporate both scene shadow and highlight details, and the removing of 'ghost' image artifacts appearing in the mixed HDR image resulting from movement in the scene over the time the series images are captured. The low computational resource utilization of the image mixing and ghost removal processing operations, along with the ability to commence image mixing and ghost removal prior to the acquisition of all series images, can significantly reduce the time required to generate and display a tone mapped HDR image.

Systems and related methods have been achieved to convert in an analog domain the output of color image sensors into another color space. A chosen implementation converts the output of red, green, blue and white image sensors to the YcrCb color space, wherein the white image sensors are either extended dynamic range (XDR) image sensors or are of the same type as the other image sensors but have a larger size. The output of the white pixels can be used without conversion directly for the luminance Y value, thus achieving a very simple method for a conversion to YCbCr color space. Analog amplifiers, assigned to each of the red, green, and blue image sensors, have a gain according to the matrix describing the conversion from RGB to CbCr. Analog adders, assigned to Cb and Cr are adding the coefficients required for the computation of Cb and Cr. Finally the values of Y, Cb and Cr are converted to digital values. White pixels are advantageous but not required using the present invention. The present invention is also applicable for conversion to other color spaces as e.g. YIQ, YUV, CMYK, HIS, HSV, etc.

A method of displaying a video of a scene on a display with reduced motion blur includes: providing the video of a scene having first subframes that have a first input rate and second subframes that have a second input rate, wherein the first subframes correspond to a first region of the display and the second subframes correspond to a second region of the display; and selectively providing the first and second subframes to corresponding regions in the display, and providing the first region of the display with a first update rate and the second region of the display with a second update rate, wherein the first update rate is greater than the second update rate, so that the displayed image has reduced motion blur.

Techniques for removing ringing artifacts from video data. A deringing filter in accordance with the present invention preserves real image edges in a video frame, while smoothing out the interiors of objects. In one aspect, a 9-tap low-pass filter is applied to an adaptive processing window. The filter window is initialized with the values in a 3×3 mask centered on the position whose output is computed. Then all values that are very different from the central one are replaced with the central value. The deringing filter varies between 3×3 low-pass and identity, depending on how much the central value differs from its surrounding ones. A deblocking filter in accordance may also be suitably used in conjunction with the deringing filter.

There is provided a display device equipped with a display unit, the display device including a receiving part for receiving a difference signal of a plurality of channels including an image signal and content identification information inserted in a blanking period and outputting the image signal and the content identification information; a light emission amount regulation part for setting a reference duty according to image information of the image signal; an adjustment part for adjusting so that an actual duty is within a predetermined range based on the reference duty and an adjustment signal and adjusting a gain of the image signal so that a light emission amount defined by the actual duty and the gain of the image signal becomes the same as the light emission amount defined by the reference duty; and an adjustment signal generation part for generating the adjustment signal based on the content identification information.

A ringing area detector classifies the input image into two regions: a mosquito noise region (i.e. filtering region) and a non-mosquito noise region (i.e. non-filtering region), and uses this classification information to adaptively remove the mosquito noise in a mosquito noise reduction system. The mosquito noise reduction system includes a ringing area detector, a local noise power estimator, a smoothing filter, and a mixer. The ringing area detector includes an edge detector, a near edge detector, a texture detector, and a filtering region decision block. The ringing detection block detects the ringing area where the smoothing filter is to be applied. The local noise power estimator controls the filter strength of the smoothing filter. The smoothing filter smoothes the input image. The mixer mixes the smoothed image and the original image properly based on the region information from the ringing area detection block.

The invention discloses an infrared and visible light image signal processing method and an implementation device thereof. The method comprises the following steps that an infrared image and a visible light image corrected in an infrared mode are provided; a color feature value corresponding to each pixel in the visible light image is calculated; acutance information corresponding to each pixel in the visible light image is calculated by means of the corresponding color feature value; acutance information corresponding to each pixel in the infrared image is calculated; acutance correction parameters and brightness correction parameters of the visible light image and the infrared image are calculated; according to the acutance correction parameters and the brightness correction parameters which are obtained through calculation, one-by-one pixel weighted combination is conducted on a certain color space. Due to the fact that acutance analysis, color analysis and brightness analysis are conducted on the infrared image and the visible light image corrected in the infrared mode, the infrared image and the visible light image are dynamically fused into one image, and the brightness, colors and acutance of the output image have no loss.