215results about How to "Reduce the number of pixels" patented technology

An imaginary object plane is set in front of an imaging device body (plane setting step). A part of optical conditions of optical lenses are changed as variables, and positions of points (pixel observation points) on the imaginary object plane where lights coming from pixels of a solid-state imaging element and back-projected through the optical lenses are calculated (pixel observation point calculating step). The dispersion in position of the calculated pixel observation points is evaluated (evaluating step). Finally, a set of values of the variables giving maximum evaluated dispersion of the calculated pixel observation points is determined as optimum optical condition of the optical lenses (condition determining step). This reduces the number of pixels which image the same portions of the target object, making it possible to reduce portions of the same image information in multiple unit images, and to stably obtain a reconstructed image having a high definition.

Aspects of the present invention relate to providing see-through computer display optics and reduction of color breakup in presented content.

Aspects of the present invention relate to providing see-through computer display optics and reduction of color breakup in presented content.

Aspects of the present invention relate to providing see-through computer display optics and reduction of color breakup in presented content.

A subject judgment program is capable of reducing the calculation load on a computer functioning as a device for judging the subject in a subject image. In a controller of a digital still camera, when a CPU running the subject judgment program (stored in a flash memory) obtains image data from an A / D converter via a first interface circuit, the CPU generates two-dimensional distribution data of product-moment correlation coefficients for each of model image data stored in the flash memory by successively calculating the product-moment correlation coefficient between the model image data and each part of the obtained image data, identifies a piece of model image data corresponding to two-dimensional distribution data having the highest maximum value, and thereby identifies subject information which has been associated with the identified model image data.

A pixel circuit for a light emitting display. Adjacent pixels of the light emitting display coupled to one scan line share one first power supply line. A driving circuit in each pixel circuit drives first and second organic light emitting diodes (OLEDs). A switching circuit is coupled between the first and second OLEDs and the driving circuit to sequentially control the driving of the first and second OLEDs. Because two adjacent pixel circuits share one pixel power supply line and a plurality of OLEDs are coupled to one pixel circuit, it is possible to reduce the number of pixel circuits and the number of wiring lines of the light emitting display. Other circuit elements may also be shared between adjacent pixel circuits. Reducing the wiring and other elements of the pixel circuits makes it possible to increase the aperture ratio of the light emitting display.

A video background processing system is disclosed that is configured to receive a video stream including a plurality of successive first video frames at a first resolution. The system comprises a video resolution modifier configured to reduce the resolution of the first video frames from the first resolution to a second resolution lower than the first resolution and thereby generate second video frames. The system also comprises a foreground determiner configured to determine a foreground portion and a background portion in the second video frames and to produce first foreground data indicative of locations of the foreground and background portions in the second video frames at the second resolution, wherein the foreground determiner is configured to use the first foreground data to generate second foreground data indicative of locations of the foreground and background portions in the first video frames. The system also comprises a compositor circuit configured to use replacement background content and the second foreground data to generate combined video frames at the first resolution, each combined video frame including the foreground portion from a first video frame and the replacement background content. A corresponding method is also disclosed.

An imaging device for imaging an object to generate a color image data, comprising: a solid-state imaging element comprising: a photoelectric conversion layer laminated above a semiconductor substrate; photoelectric conversion elements comprising at least two kinds of photoelectric conversion elements aligned on the semiconductor substrate for detecting colors different from that to be detected by the photoelectric conversion layer; and a signal reading circuit formed on the semiconductor substrate for reading out color signals according to signal charge accumulated in the photoelectric conversion elements and signal charge generated in the photoelectric conversion layer; and a color signal generating unit for generating a color signal constituting one-pixel data in the color image data on the basis of signal charge accumulated in a first photoelectric conversion element corresponding the one-pixel data among the photoelectric conversion elements and signal charge accumulated in at least one second photoelectric conversion element, adjacent to the first photoelectric conversion element, for detecting the same color as that of the first photoelectric conversion element.

A method for automatically segmenting image data of an object includes selecting a seed, creating an initial surface around the seed, preprocessing the image data, running a deformable surface algorithm on the image data and post processing the image data. Selecting the seed includes at least one of selecting one seed point within the object, selecting two seed points within the object with one seed point being selected at an upper end of the object and the other seed point being selected at a lower end of the object if the object is a first organ, and selecting a curved segment within the object if the object is a second organ.

The invention discloses an imaging method of an image sensor, an imaging device and an electronic device. The image sensor comprises a pixel array and an optical filter array arranged on the pixel array; the optical filter array comprises M optical filter sets arranged in a Bayer mode; each optical filter set covers N pixels; and the M and N are positive integers. The imaging method comprises following steps of reading the output pixel values of the N pixels covered by each optical filter set; respectively combining the output pixel values of the N pixels covered by each optical filter set in the M optical filter sets, thus generating M combined pixel values; and generating an RGB format image according to the M combined pixel values. According to the imaging method of the embodiment of the invention, the N pixels in the pixel array are combined into a combined pixel in logic; the RGB format image can be directly output; interpolation processing is unnecessary; the number of the pixels of the generated image is reduced, while the detail reduction capacity of the image is maintained; and the user experience is improved.

A capsule endoscope swallowable in a body is provided, and includes an image pickup device for picking up an image in the body. A transmitter externally transmits information of the image. By use of an acceleration sensor, a capsule moving speed is detected in the body. A CPU as pixel number changer changes a pixel number of the image, namely resolution of the image according to information of the capsule moving speed. The CPU sets the pixel number lower according to lowness of the capsule moving speed. Also, the CPU sets the pixel number lower according to lowness of a capsule moving distance, and / or according to highness of similarity degree between plural consecutive images. Preferably, the CPU sets the pixel number by at least one of pixel binning, pixel thinning and pixel averaging.

A motion vector estimation apparatus that can reduce an amount of calculation for video coding processing and thus achieve a higher bit rate and lower consumption power, while contributing to improvement in image quality and coding efficiency include: a reduced picture generation unit which generates a reduced current picture to be coded and a reduced reference picture; a region partition unit which partitions a reduced current picture to be coded into regions and generates reduced region images; a region motion vector estimation unit which estimates a region motion vector of a reduced region image; a confidence level calculation unit which calculates a confidence level of a region motion vector; and a block size narrowing-down unit which narrows down candidate block sizes so as to determine a block size to be used for coding a current block to be coded, based on a region motion vector and a confidence level of the region motion vector.

A system evaluates file metadata for files maintained in the secondary storage of a host system to determine whether one or more image files are to be downgraded. The image files selected for downgrading are reduced in size by one or more downgrading operations. The resulting file is stored in secondary storage so an image file remains in secondary storage that does not require the memory space of the previous image file. The downgrade operations may include lossless compression, lossy compression, bit depth reduction, resolution reduction, color palette, binary imaging, or a combination of a plurality of downgrade operations.

The invention relates to a method for processing an image, adapted for a display comprising a plurality of pixels, comprising the steps of setting, in dependence upon the image content, a portion out of the plurality of pixels to black for obtaining off-pixels thereby reducing the resolution of the display to a predefined value; and sequentially switching the position of the off-pixels over the plurality of pixels comprised by the display. In this way, a possibility for reducing or compensating for image retention in displays is provided.

The invention discloses a display panel. The display panel is divided into a central region and a peripheral region, wherein the central region is located at the central position of a base plate and extends outwards from the central position of the base plate to cover a pre-set area; the peripheral region surrounds the central region, wherein the pixel arraying density of the central region is greater than the pixel arraying density of the peripheral region. The display panel disclosed by the invention can solve the problem that a circuit is unstable since a large quantity of pixels are arranged in a high-resolution panel.

A method for rendering an object on a display screen, comprising the steps of (A) buffering a plurality of pixels in a plurality of line buffers, (B) determining a boundary of the object based on the buffered pixels, (C) determining a direction of the boundary, (D) testing if a pixel in the line buffers is in motion and applying one of a plurality of filter coefficients if the pixel is in motion, where the plurality of filter coefficients define a modified median filter having a predetermined threshold and (E) interpolating a new pixel in the direction of the boundary.

A digital still camera includes means for converting an optical image into a digital electromagnetic image signal, means for transmitting an electromagnetic to designate a remote device accessible in accordance with a wireless telephone system, means for receiving an electromagnetic signal containing an identification signal to be transmitted back from the remote device in response to the designation, means for modifying the electromagnetic signal into a digital electronic signal, means responsive to the receiving means for reducing the number of pixels of the still image, and means for transmitting the electromagnetic signal containing the still image signal to the designated remote device.

A method for automatically segmenting image data of an object includes selecting a seed, creating an initial surface around the seed, preprocessing the image data, running a deformable surface algorithm on the image data and post processing the image data. Selecting the seed includes at least one of selecting one seed point within the object, selecting two seed points within the object with one seed point being selected at an upper end of the object and the other seed point being selected at a lower end of the object if the object is a first organ, and selecting a curved segment within the object if the object is a second organ.

The invention discloses a panoramic video positive mapping method and a panoramic video reverse mapping method, and relates to the field of a VR (Virtual Reality) video. In the invention, according to the positive mapping method, based on a main viewpoint, regions I, II and III on a spherical surface are respectively mapped to corresponding regions on a plane, wherein the region I corresponds to a region with an included angle of 0 degree to Z1, the region II corresponds to a region with an included angle of Z1 to Z2, and the region III corresponds to a region with an included angle of Z2 to 180 degrees. According to the panoramic video positive mapping method, a spherical surface corresponding to a panoramic image A is mapped onto a plane square image B; and according to the panoramic video reverse mapping method, the plane square image B is mapped back to the spherical surface to carry out rendering playing. According to the panoramic video positive mapping method and the panoramic video reverse mapping method which are disclosed by the invention, a resolution of the video can be greatly reduced, a code rate of panoramic video encoding and complexity of encoding and decoding are effectively reduced, and the aims of reducing the encoding code rate and ensuring video quality of an ROI region are fulfilled.

A method of detecting a face in a digital image comprises generating a map from the image, the map having a plurality of elements each corresponding to a pixel of the image, and searching the map for regions of elements corresponding to regions of pixels in the image exhibiting characteristics of a face. The map may have elements corresponding only to a small proportion of the pixels in the original image. Validation of regions exhibiting the characteristics of a face may include matching against templates. Once the location and size of a face has been identified it may be passed to the control system of a camera to enable the camera to focus on that face and / or select a suitable photograph exposure to optimise the exposure of that face.

A pixel area of a megapixel solid-state color imaging device is divided into unit areas for pixel adding and all the pixels for the same color are added together in each unit area. Accordingly, the percentage of utilized pixels is raised to 100% and aliasing noise to low frequencies in a high-frequency video signal is greatly suppressed by a spatial LPF (low pass filter) effect of the pixel addition in the area units.

A driving method of an electro-optic device is capable of sufficiently providing a threshold voltage compensation time of a driving transistor and a data writing time. A driving method of an electro-optic device including a first power source, a second power source, data lines, scan lines, signal lines, and pixel circuits, includes: a first step in which a light emitting element is in a non-light-emitting state, and a second transistor is turned on by a change of a pulse applied to a signal line; and a second step in which the scan line is sequentially and exclusively selected after the second transistor is turned on, a third transistor including a gate connected to a selected scan line is turned on, and a corresponding data voltage is written to a first node from the data line through the third transistor.

The algorithm is used in the image compression field. It integrates the color space transition, quantification and DCT three steps in order to reduce the operand; while reducing the operand of color transition, except the little adjustment of quantification step length, the structure and operand in both DCT and quantification process steps are not influenced. In case the image sub-sampling is 4:4:4, the new algorithm realizes the 40% and 42% reduction on the multiplication and additive operation in process of transition from RGB to YCbCr in compression process; in the de-compression process, the 60% and 42% reduction on the multiplication and additive operation is realized in the process of transition from YCbCr to RGB.

A defect inspection apparatus is provided which allows a technology for inspecting a pattern on a wafer by using an electron beam to implement a high-resolution and higher-speed inspection. A semiconductor wafer is irradiated with an electron beam and electrons reflected in the vicinity of the wafer are detected. The presence or absence of a defect and the location thereof are measured by forming an image from only a component which changes with a periodicity larger than a size of a circuit pattern or the repetition periodicity thereof by using lenses and comparing an image signal with a preset value. Since only the component which changes with a periodicity larger than the size of the circuit pattern with a surface potential distortion and the repetition periodicity thereof is observed with a resolution lower than required to observe the pattern itself instead of detecting a defect through a comparison between extremely small pattern images, an inspection throughput can be increased exponentially compared with that of a conventional SEM inspection.

The invention discloses a pixel motion estimation method and a device thereof which relate to the video encoding field. The method and device can reduce encoding time at the same time ensuring image quality. The pixel motion estimating method provided by an embodiment of the invention includes: judging whether satisfying early terminal condition according with obtained matching error value of present optimality matching point searched by median estimation range or origin estimation range when whole pixel searching is processed, if yes, jumping at least one step of searching process subsequently according with asymmetric cross multi-layer hexagon encoding sequence, and judging macro block whether being 16*16 model for searching corresponding block and adjacent frame or upper layer; deciding processing vertical search or horizontal search or multi-layer hexagon search according with distance between the obtained present optimality matching point and vector (0, 0); processing sub-pixel search with various method to the macro block with various moving character when processing sub-pixel search. The invention is suitable for situation that needs video encoding.

The invention discloses an identity authentication method and device, and belongs to the field of image processing and mode identification. The method comprises the steps of: obtaining a face image sample pair, wherein one face image is an identity card photograph, and the other face image is an image collected on site; utilizing a face image pyramid algorithm to process the obtained face image sample pair, and obtaining a face image pyramid structure; calculating gray scale gradient directions of the face images of all scales in the face image pyramid structure of the obtained face image sample pair, and obtaining gradient direction pyramid GOP characteristics; and according to the GOP characteristics of the obtained face image sample pair, calculating and judging whether the face image sample pair belongs to the same person. By adopting the identity authentication method and device, the interference of factors such as illumination, age and expression is effectively avoided, and the accuracy of identity authentication is substantially improved.

In each of pixel circuits in an organic EL display device configured to display color images in a field sequential method, a drive transistor is connected to first to third organic EL elements configured to emit red light, green light, and blue light through first to third light emission control transistors. A connection point between the drive transistor and the light emission control transistors is connected to a data line through a monitor control transistors. A data-side driving circuit is provided with a data voltage output unit circuit and a current measurement unit circuit for each of data lines. The data-side driving circuit is configured to be able to switch between the unit circuits to connect either one of the unit circuits to the data line.

There is provided a human detection device capable of determining whether a human exists in an infrared image with information only contained in the infrared image at high speed with high accuracy regardless of an ambient environment temperature. The human detection device includes: a boundary information extracting unit which receives infrared image data and detects a boundary of a small image region based on a pixel value of a pixel to specify a boundary pixel; a distance converting unit which calculates a shortest distance between each pixel contained in the small image region and the boundary pixel; a processing unit which extracts a pixel having the shortest distance satisfying a predetermined condition, from the pixels contained in the small image region; and a determining unit which performs pattern matching by comparing image data with a predetermined pattern based on the pixel having the shortest distance to determine whether an object shown in the small image region is a human.

The invention discloses a scanning line processing based automatic reading method for a pointer instrument. The method comprises the steps of firstly performing illumination processing on an original image by adopting a single-scale Retinex algorithm, binarizing the image, then extracting characteristic pixel points by a row scanning line processing based method, performing Hough conversion on the characteristic pixel points to detect a straight line of a pointer, and finally calculating a read number by adopting an angle method, wherein the row scanning line processing based method refers to a method for scanning each row in the image, extracting continuous segments in the row, searching for the continuous segments with the lengths smaller than or equal to the line width of the pointer and taking the line segment midpoints of the continuous segments as the characteristic pixel points. According to the method, due to the adoption of the Retinex algorithm, the influence of non-uniform illumination on subsequent algorithms can be reduced; and due to the adoption of the row scanning line processing based method, the number of pixel points participating in Hough conversion can be reduced, thereby reducing the calculation amount.