7940 results about "Grayscale" patented technology

A limitation in the physical resolution of an image sensor offers a motivation to improve the resolution of an image. Super-resolution is mainly applied to gray scale images, and it has not been thoroughly investigated yet that a high resolution color image is reconstructed from an image sensor having a color filter array. An object of the invention is to directly reconstruct a high resolution color image from color mosaic obtained by an image sensor having a color filter array. A high resolution color image reconstruction method according to the invention is based on novel technique principles of color image reconstruction that an increase in resolution and demosaicing are performed at the same time. The verification and effective implement of the invention are also described.

The present invention generally relates to methods and systems for (i) skin assessment based on the utilization of bioimpedance and fractional calculus and implementation of methods for skin hydration assessment based on the utilization of bioimpedance and fractional calculus and systems thereof, (ii) an Opto-Magnetic method based on RGB and gray images data as “cone-rods” principles with enhanced qualitative and quantitative parameters for analyzing water based on Opto-Magnetic properties of light-matter interaction and systems thereof, and (iii) imaging and analyzing skin based on the interaction between matter and electromagnetic radiation and implementation of an Opto-Magnetic method with enhanced qualitative and quantitative parameters for imaging and analyzing skin based on Opto-Magnetic properties of light-matter interaction and systems thereof.

A face detection and/or detection method includes acquiring a digital color image. An active appearance model (AAM) is applied including an interchannel-decorrelated color space. One or more parameters of the model are matched to the image. Face detection results based on the matching and/or different results incorporating the face detection result are communicated.

This invention provides a vehicle-borne system and method for traffic sign recognition that provides greater accuracy and efficiency in the location and classification of various types of traffic signs by employing rotation and scale-invariant (RSI)-based geometric pattern-matching on candidate traffic signs acquired by a vehicle-mounted forward-looking camera and applying one or more discrimination processes to the recognized sign candidates from the pattern-matching process to increase or decrease the confidence of the recognition. These discrimination processes include discrimination based upon sign color versus model sign color arrangements, discrimination based upon the pose of the sign candidate versus vehicle location and/or changes in the pose between image frames, and/or discrimination of the sign candidate versus stored models of fascia characteristics. The sign candidates that pass with high confidence are classified based upon the associated model data and the drive/vehicle is informed of their presence. In an illustrative embodiment, a preprocess step converts a color image of the sign candidates into a grayscale image in which the contrast between sign colors is appropriate enhanced to assist the pattern-matching process.

The invention provides an electro-optical device that stabilizes display quality by performing correction processing corresponding to a plurality of disturbance factors. Specifically, a grayscale characteristic generating unit can generate conversion data having grayscale characteristics obtained by changing the grayscale characteristics of display data that defines the grayscales of pixels with reference to a conversion table whose description contents include correction factors. A data line driving circuit can drive the pixels after correcting the grayscale characteristics of the conversion data by the correction factors using other processing different from the that performed by the grayscale characteristic generating unit.

Locating an eye includes generating an intensity response map by applying a 3-rectangle filter and applying K-mean clustering to the map to determine the eye. Locating an eye corner includes applying logarithm transform and grayscale stretching to generate a grayscale eye patch, generating a binary map of the patch by using a threshold based on a histogram of the patch, and estimating the eye corner by averaging coordinates weighted by minimal eigenvalues of spatial gradient matrices in a search region based on the binary map. Locating a mouth corner includes generating another intensity response map and generating another binary map using another threshold based on another histogram of the intensity response map. Locating a chin or a cheek includes applying angle constrained gradient analysis to reject locations that cannot be the chin or cheek. Locating a cheek further includes removing falsely detected cheeks by parabola fitting curves through the cheeks.

To produce a black body angiographic image representation of a subject (42), an imaging scanner (10) acquires imaging data that includes black blood vascular contrast. A reconstruction processor (38) reconstructs a gray scale image representation (100) from the imaging data. A post-acquisition processor (46) transforms (130) the image representation (100) into a pre-processed image representation (132). The processor (46) assigns (134) each image element into one of a plurality of classes including a black class corresponding to imaged vascular structures, bone, and air, and a gray class corresponding to other non-vascular tissues. The processor (46) averages (320) intensities of the image elements of the gray class to obtain a mean gray intensity value (322), and replaces (328) the values of image elements comprising non-vascular structures of the black class with the mean gray intensity value.

A display ( 10 ) has a non pixel addressable backlight ( 130 ), having a temporal modulation applied, a pixel addressable LCD ( 120 ) in an optical path and the pixel addressable part being arranged to output each pixel of a frame as a temporal sequence of output values unrelated to colour components of the pixel, different values of the sequence coinciding with different output levels of the modulated non pixel addressable part. The apparent luminance or colour of the pixels can be made to take intermediate values between the gradations dictated by the stepsize corresponding to a least significant bit of the pixel addressable part, to enable more accurate reproduction of both colour and greyscale images. Additional intermediate output levels are concentrated at low illumination levels. A convertor generates a temporal modulation of the pixels for the LCD according to a value of the pixels in an input signal, and synchronized to the temporal modulation of the backlight.

Background images are removed and only the desired payment information is extracted from a grayscale image of a check or similar financial instrument. A density distribution improvement process applied to grayscale raw image data 40 acquired by scanning a check corrects the density distribution of the raw image data 40 to separate the density range of the desired payment information from the density range of the background image. Image sharpening or contrast enhancement can be used as the density distribution improvement method. A threshold level 44 for clearly separating the payment information from the background image is then calculated from the characteristics of the density distribution of the grayscale improved image data 42 acquired by the density distribution improvement process. Histograms of the density distributions are used to determine the characteristics of the density distribution. The improved image data 42 is then converted to binary image data 46 using the threshold level 44. Most of the background image is white and most of the desired payment information is black in the binary image data 46.

A two-dimensional image is displayed and a grey level image is drawn on said two-dimensional image defining a depth map. A stereo image pair is generated based on the depth map and an anaglyph image of the stereo image pair is displayed. Edits of the depth map are displayed by anaglyph image. A plurality of projection frames are generated based on the depth map, and interlaced and printed for viewing through a micro optical media. Optionally, a layered image is extracted from the two-dimensional image and the plurality of projection frames have an alignment correction shift to center the apparent position of the image. A measured depth map is optionally input, and a stereo pair is optionally input, with a depth map calculated based on the pair. The user selectively modifies the calculated and measured depth map, and the extracted layers, using painted grey levels. A ray trace optionally modifies the interlacing for optimization to a particular media.

It is an object to provide a semiconductor device typified by a display device having a favorable display quality, in which parasitic resistance generated in a connection portion between a semiconductor layer and an electrode is suppressed and an adverse effect such as voltage drop, a defect in signal wiring to a pixel, a defect in grayscale, and the like due to wiring resistance are prevented. In order to achieve the above object, a semiconductor device according to the present invention may have a structure where a wiring with low resistance is connected to a thin film transistor in which a source electrode and a drain electrode that include metal with high oxygen affinity are connected to an oxide semiconductor layer with a suppressed impurity concentration. In addition, the thin film transistor including the oxide semiconductor may be surrounded by insulating films to be sealed.

A gray scale image cleaning algorithm for improved check code line OCR. An image processing system for processing a gray scale image is provided that includes: a system for generating a first thresholded black white image from the gray scale image; a system for generating a second thresholded black white image from the gray scale image, wherein the second thresholded black white image is generated with a higher threshold value than the first thresholded black white image; and a system for logically combining the first and second thresholded black white images to generate a composite image.

Automatic white balance of captured images can be performed based on a gray world assumption. Initially, a flat field gray image is captured for one or more reference illuminations. The statistics of the captured gray image are determined and stored for each reference illumination during a calibration process. For each subsequent captured image, the image is filtered to determine a subset of gray pixels. The gray pixels are further divided into a one or more gray clusters. The average weight of the one or more gray clusters is determined and a distance from the average weights to the reference illuminants is determined. An estimate of the illuminant is determined depending on the distances. White balance gains are applied to the image based on the estimated illuminant.

An apparatus and a method for processing checks and other negotiable instruments efficiently captures MICR data required for electronic payment and an image of the check or negotiable instrument enabling the amount, payee, and other information printed or written on the check face to be clearly read. The image reading unit 11 of the check processing apparatus 110 scans and outputs a gray scale image of the check. A threshold value determination unit 12 sets a threshold value for digitizing the image data based on the density level frequency distribution of primary gray scale image data obtained by the image data reading unit scanning a first scanning area T. This first scanning area contains part of a printed text area 127 where text is printed on the negotiable instrument and part of the background 49 of the negotiable instrument. A digital image processor 20 digitizes and converts secondary gray scale image data to digital image data based on the threshold value set by the threshold value determination unit 12. The secondary gray scale image data is generated by the image reading unit 11 scanning a predefined second scanning area of the negotiable instrument.

Methods and apparatuses for automated conversion of color images to aesthetically enhanced gray scale images. In one embodiment, the mix of color channels of a color image is automatically determined as a result of analysis of the image for the generation of a gray scale image. In one example, the data of a color channel (e.g., Blue) that is not suitable for a gray scale representation is not used. The adjustment strength depends on the image itself. In one example, a stronger color channel is automatically weighted less than a weaker color channel for enhancement. In one example, after the contrast is further strengthened through nonlinear scaling, the boundary portion of the image is darkened to strengthen the edges and draw attention to the center of the image. Optionally, an attractive color balance adjustment is also made according to the gray levels to further enhance the appearance.

An image displaying apparatus, for improving motion blur, in particular, on an image displaying apparatus of hold-type, such as, a liquid crystal display element, etc., comprising: sub-frame producing portions (5, 6) for producing a first sub-frame, a second sub-frame being lower in the gradation than the first sub-frame, from an image of one (1) frame of an image signal inputted; a histogram detection portion (2) for detecting brightness histogram of the image signal; an image determination portion (3) for determining on whether the image signal inputted is a high-gradation image or not, from that brightness histogram; and a level compensation portion (4) for lowering a gradation level of that image signal inputted. And, according to the present invention, lowering the gradation of the high-gradation image keeps the difference in brightness between the first and the second sub-frames, and thereby increasing an effect of improving the motion blur.

An electrophoretic display and a driving method thereof are provided. The electrophoretic display includes a display panel, a storage unit and a timing controller. The display panel has a plurality of sub pixels. The storage unit stores a plurality of sets of multiple-grayscale driving waveforms, in which the driving voltage scales of driving waveforms corresponding to a same grayscale in the sets of multiple-grayscale driving waveforms are different from each other. The timing controller is coupled to the storage unit and the display panel and receives an image signal, and when the image signal transmits a multiple-grayscale frame, the timing controller sequentially adopts the sets of multiple-grayscale driving waveforms to drive the sub pixels.