825 results about "Pixel color" patented technology

A method of image processing, including:

• (a) calculating at least one pixel color feature (PCF) value for each pixel in a color medical image to generate a set of PCF data; and
• (b) filtering the PCF data with at least one spatial adaptive bandpass filter (ABPF) to sort the pixels into physiologically significant regions;
  • wherein the at least one PCF value for at least one pixel depends on at least 2 color components of the medical image.

A pixel image enhancement system which operates on color or monochrome source images to produce output cells the same size as the source pixels but not spatially coincident or one-to-one correspondent with them. By operating upon a set of input pixels surrounding each output cell with a set of logic operations implementing unique Boolean equations, the system generates "case numbers" characterizing inferred-edge pieces within each output cell. A rendering subsystem, responsive to the case numbers and source-pixel colors, then produces signals for driving an output device (printer or display) to display the output cells, including the inferred-edge pieces, to the best of the output device's ability and at its resolution.

A system and method for generating images of three-dimensional objects. The system includes one or more tracing processors, and one or more shading processors. Each of the tracing processors may be configured to (a) perform a first set of computations on a corresponding group of primary rays emanating from a viewpoint resulting in a ray tree and a set of one or more light trees for each primary ray of the corresponding group, (b) transfer the ray trees and associated light trees to one of the shading processors, and (c) repeat (a) and (b). Each of the shading processors may be configured to (d) receive ray trees and associated light trees from one of the tracing processors, (e) perform a second set of computations on the received ray trees and associated light trees to determine pixel color values, and (f) repeat (d) and (e) a plurality of times.

In a minimally invasive surgical system, an image capture unit includes a prism assembly and sensor assembly. The prism assembly includes a beam splitter, while the sensor assembly includes coplanar image capture sensors. Each of the coplanar image capture sensors has a common front end optical structure, e.g., the optical structure distal to the image capture unit is the same for each of the sensors. A controller enhances images acquired by the coplanar image capture sensors. The enhanced images may include (a) visible images with enhanced feature definition, in which a particular feature in the scene is emphasized to the operator of minimally invasive surgical system; (b) images having increased image apparent resolution; (c) images having increased dynamic range; (d) images displayed in a way based on a pixel color component vector having three or more color components; and (e) images having extended depth of field.

Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.

An image pickup apparatus comprises a plurality of pixels arranged in a matrix form, first color filters arranged in an oblique direction for the pixels, second and third color filters arranged so that a same color is arranged in a horizontal direction, a circuit for adding together signals of two or more pixels each having the first color filter, which are adjacent to each other in an oblique direction, and a circuit for adding together the signals of two or more pixels each having the second color filter, which are arranged in a horizontal direction, and for adding together the signals of two or more pixels each having the third color filter, which are arranged in the horizontal direction.

A scalable video bitstream may have an H.264/AVC compatible base layer and a scalable enhancement layer, where scalability refers to color bit depth. The H.264/AVC scalability extension SVC provides also other types of scalability, e.g. spatial scalability where the number of pixels in BL and EL are different. According to the invention, BL information is upsampled in two logical steps, one being texture upsampling and the other being bit depth upsampling. Texture upsampling is a process that increases the number of pixels, and bit depth upsampling is a process that increases the number of values that each pixel can have, corresponding to the pixels color intensity. The upsampled BL data are used to predict the collocated EL. The BL information is upsampled at the encoder side and in the same manner at the decoder side, wherein the upsampling refers to spatial and bit depth characteristics.

In a minimally invasive surgical system, an image capture unit includes a prism assembly and sensor assembly. The prism assembly includes a beam splitter, while the sensor assembly includes coplanar image capture sensors. Each of the coplanar image capture sensors has a common front end optical structure, e.g., the optical structure distal to the image capture unit is the same for each of the sensors. A controller enhances images acquired by the coplanar image capture sensors. The enhanced images may include (a) visible images with enhanced feature definition, in which a particular feature in the scene is emphasized to the operator of minimally invasive surgical system; (b) images having increased image apparent resolution; (c) images having increased dynamic range; (d) images displayed in a way based on a pixel color component vector having three or more color components; and (e) images having extended depth of field.

Techniques are disclosed for enhancing the quality of a displayed image using a tactile or other texture display. In particular, the disclosed techniques leverage active-texture display technology to enhance the quality of graphics by providing, for example, outlining and/or shading when presenting a given image, so as to create the effect of increased contrast and image quality and/or to reduce observable glare. These effects can be present even at high viewing angles and in environments of high light reflection. To these ends, one or more graphics processes, such as edge-detection and/or shading, may be applied to an image to be displayed. In turn, an actuator element (e.g., microelectromechanical systems, or MEMS, devices) of the tactile display may be manipulated (e.g., in Z-height) to provide fine-grain adjustment of image attributes such as: pixel brightness/intensity; pixel color; edge highlighting; object outlining; effective shading; image contrast; and/or viewing angle.

A video compression system is disclosed that is optimized to take advantage of the types of redundancies typically occurring on computer screens and the types of video loss acceptable to real time interactive computer users. It automatically adapts to a wide variety of changing network bandwidth conditions and can accommodate any video resolution and an unlimited number of colors. The disclosed video compression encoder can be implemented with either hardware or software and it compresses the source video into a series of data packets that are a fixed length of 8 bits or more. Sequences of one or more of these packets create unique encoding “commands” that can be sent over any network and easily decoded (decompressed) with either software or hardware. The commands include 3 dimensional copying (horizontal, vertical and time) and unique efficiencies for screen segments that are comprised of only two colors (such as text). Embodiments are also disclosed that improve the video compression depending on the popularity of pixel colors.

Methods, systems, and computer program products for imperceptibly embedding structured light patterns in projected color images for display on planar and non-planar surfaces are disclosed. According to one method, an image exposure period for detecting an embedded structured light patterns in a projected image is selected based on analysis of pixel polarities for different pixel intensities of a pixel color. Pixel intensities for the color are varied in the user image so that pixel polarities encode the structured light patterns during image exposure period. The user image is projected with the structured light patterns onto the surface. Depth information is continuously acquired and used to adjust display of the user image.

A method and apparatus for encoding, segment by segment, frames of audio/video data, including pixels each having a plurality of pixel color components by creating a frame group table of encoded pixel values in which each pixel entry includes a dominant pixel color component of the plurality of pixel color components, determining a set of segment reference pixels for each encoded segment, wherein each one of the segment reference pixels is comprised of segment reference pixel parameter values and is a pixel within each one of the encoded segments having a most intense dominant pixel color value, communicating the frame group table and the segment reference pixels over a network to a receiver, and at the receiver, decoding the frame group table on a pixel-by-pixel basis by scaling the segment reference pixel parameter values according to each entry in the frame group table of encoded pixel parameter.

By merging or adding the color contributions from objects intersected by secondary rays, the image processing system may accumulate color contributions to pixels from objects intersected by secondary rays as the further color contributions are determined. Furthermore, by associating a scaling factor of color contribution with objects and with secondary rays which intersect the objects, color contributions due to secondary ray/object intersections may be calculated at a later time than the color contribution to a pixel from original ray/object intersection. Consequently, it is not necessary for a vector throughput engine or a workload manager to wait for all secondary ray/object intersections to be determined before updating the color of a pixel.

A system and process for generating High Dynamic Range (HDR) video is presented which involves first capturing a video image sequence while varying the exposure so as to alternate between frames having a shorter and longer exposure. The exposure for each frame is set prior to it being captured as a function of the pixel brightness distribution in preceding frames. Next, for each frame of the video, the corresponding pixels between the frame under consideration and both preceding and subsequent frames are identified. For each corresponding pixel set, at least one pixel is identified as representing a trustworthy pixel. The pixel color information associated with the trustworthy pixels is then employed to compute a radiance value for each pixel set to form a radiance map. A tone mapping procedure can then be performed to convert the radiance map into an 8-bit representation of the HDR frame.

A system and method for deghosting mosaics provides a novel multiperspective plane sweep approach for generating an image mosaic from a sequence of still images, video images, scanned photographic images, computer generated images, etc. This multiperspective plane sweep approach uses virtual camera positions to compute depth maps for columns of overlapping pixels in adjacent images. Object distortions and ghosting caused by image parallax when generating the image mosaics are then minimized by blending pixel colors, or grey values, for each computed depth to create a common composite area for each of the overlapping images. Further, the multiperspective plane sweep approach described herein is both computationally efficient, and applicable to both the case of limited overlap between the images used for creating the image mosaics, and to the case of extensive or increased image overlap.

An apparatus for displaying an encoded image is disclosed. The apparatus comprises a display device and a decoding unit. The decoding unit acquires a Bit-Per-Pixel (BPP) value from an encoded image, acquires a bit stream from the encoded image, acquires multiple pixel data indices by segmenting the bit stream every lengths of the BPP value, acquires a pixel color value of each pixel data index by retrieving a palette comprising multiple unique pixel color values respectively labeled by the pixel data indices, and outputs the acquired pixel color values to the display device for display of the encoded image.

The present invention relates to an image processing device and method, and program, wherein compression efficiency can be improved.

With regard to a luminance block A_Y of 4×4 pixels, motion prediction and compensation processing is performed on the luminance signals using a template region B_Y which is configured of decoded pixels and is adjacent to the block A_Y, thereby obtaining motion vector information V_Y. a color difference TP motion prediction/compensation unit performs motion prediction on a 2×2 pixel color difference block A_C regarding color difference signals Cb and Cr, using a template region B_C which is configured of decoded pixels and is adjacent to a luminance block A_C, with a range E, centered on motion vector information V_Y′ obtained by scaling the motion vector information V_Y, as the range of searching. The present invention can be applied to an image encoding device which performs encoding with the H.264/AVC format, for example.

The invention relates to the power distribution net monitoring field and provides a real-time state monitoring recognition method for indicator lights of a power device fault indicator. In the method, digital video signals collected by image collecting equipment of a camera, and the like are processed; video frames are extracted from the video signals; monitoring targets are determined, that is the target region of each indicator light in the video frames, and corresponding numbers are distributed; the pixel color change and the intensity roughness of each indicator light in the target regions of two adjacent frames are used for identifying the flash alarming of the fault indicator; specific conditions of faults are determined according to the identified target numbers of the flash alarming and the combinations thereof; the result is real-timely transmitted to a backstage by a distribution communication network to remind working personnel of the fault happening. The real-time state monitoring recognition method realizes the real-time monitoring recognition alarming for the light state of the fault indicator of the power equipment, ensures the reliability of a system, facilitates the installation and the modification of the system and guarantees the safety of installing and maintaining personnel.

In a minimally invasive surgical system, an image capture unit includes a prism assembly and sensor assembly. The prism assembly includes a beam splitter, while the sensor assembly includes coplanar image capture sensors. Each of the coplanar image capture sensors has a common front end optical structure, e.g., the optical structure distal to the image capture unit is the same for each of the sensors. A controller enhances images acquired by the coplanar image capture sensors. The enhanced images may include (a) visible images with enhanced feature definition, in which a particular feature in the scene is emphasized to the operator of minimally invasive surgical system; (b) images having increased image apparent resolution; (c) images having increased dynamic range; (d) images displayed in a way based on a pixel color component vector having three or more color components; and (e) images having extended depth of field.