208 results about "Alpha Value" patented technology

An image processing system is described that receives polygonal image data at the direction of a processor and develops antialiased image data for display on a raster scanned display. In particular, the image system includes a scan convertor for converting the polygonal image data into pixel data, which includes pixel screen coordinates and at least one color value for each polygon covered pixel of the pixel data and a supersample coverage mask indicating an extent of polygon coverage within each polygon covered pixel. The image system also includes a raster system having at least one image processor for receiving the pixel data for each pixel, for developing a region mask based on the supersample coverage mask, and for storing the color value in association with the region mask as anitialiased display data in an image memory in communication with the image processor based on the pixel screen coordinates. The region mask indicates one or more, geographical regions of supersamples within each pixel covered by one or more polygons and indicates a color value stored in the image memory to be assigned to the supersamples in a region. This requires only a single color value for supersamples within a region of a covered pixel to be stored in the image memory. The image system can also be configured to develop and store Z-values, alpha values, stencil values, and texture values for each pixel for storage in the image memory in association with the region mask.

Method and apparatus for creating foreground masks, or mattes, in images including complex images. A discriminative matting technique may generate accurate alpha mattes for textured images or objects with spatial-varying color distributions. Given an input image and a trimap defining an unknown region, a discriminative color analysis is applied to the unknown region, yielding estimated alpha values, estimated binary segmentation values, and a mixture probability map for the region. The map may be adaptively smoothed. The pixels in the unknown region are classified into boundary pixels and non-boundary pixels according to the probability map. The non-boundary pixels are classified as either foreground or background pixels using a differencing technique that compares multiple pixel features. The estimated alpha values for the boundary pixels are refined. An alpha matte for the image is output. The process may be repeated until convergence of the alpha matte.

An apparatus to display an overlaid image includes an alpha-value-checking unit to check a 3D object having an alpha value among 3D objects of an overlay plane, a blending unit to blend the 3D object and the previously painted overlay plane based on a plurality of blending rules if the 3D object has a predetermined alpha value as a result of the check by the alpha-value-checking unit, and a rendering unit to render the blended 3D object and the previously painted overlay plane.

An interactive computer program for seaming a number of images into a panorama. Various parameters which affect how the images are seamed can be changed interactively. Parameters such as position, orientation, focal length, which image will be visible where images overlap, and the opacity curve can be changed. The result of any change is immediately visible. A user can move the control points, thereby “morphing” or distorting the contribution to the panorama of an image. Each pixel is assigned an “alpha” value which indicates the opacity value of that pixel in an area where images overlap. Alpha values can be changed according to a pre-established curve. The original images are not changed. Instead, only the transform between the original images and the final panorama is changed.

An interactive computer program for seaming a number of images into a panorama. Various parameters which affect how the images are seamed can be changed interactively. Parameters such as position, orientation, focal length, which image will be visible where images overlap, and the opacity curve can be changed. The result of any change is immediately visible. A user can move the control points, thereby "morphing" or distorting the contribution to the panorama of an image. Each pixel is assigned an "alpha" value which indicates the opacity value of that pixel in an area where images overlap. Alpha values can be changed according to a pre-established curve. The original images are not changed. Instead, only the transform between the original images and the final panorama is changed.

A maximum a posteriori probability (MAP) block decoder for decoding a received data block of input samples. The MAP block decoder segments the received data block into at least a first segment and a second segment and calculates and stores alpha values during forward processing of the first segment. The MAP block decoder uses a first selected alpha value calculated during forward processing of the first segment as initial state information during forward processing of the second segment. The first and second segments may overlap each other, such that the last M samples of the first segment are the same as the first M samples of the second segment.

A system and process for generating a two-layer, 3D representation of a digital or digitized image from the image and a pixel disparity map of the image is presented. The two layer representation includes a main layer having pixels exhibiting background colors and background disparities associated with correspondingly located pixels of depth discontinuity areas in the image, as well as pixels exhibiting colors and disparities associated with correspondingly located pixels of the image not found in these depth discontinuity areas. The other layer is a boundary layer made up of pixels exhibiting foreground colors, foreground disparities and alpha values associated with the correspondingly located pixels of the depth discontinuity areas. The depth discontinuity areas correspond to prescribed sized areas surrounding depth discontinuities found in the image using a disparity map thereof.

Rendering 3D paintings can be done by compositing brush strokes embedded in space. Image elements are rendered into an image representable by a pixel array wherein at least some of the image elements correspond to simulated painting strokes. A method may include determining stroke positions in a 3D space, determining stroke orders, and for each pixel to be addressed, determining a pixel color value by determining strokes intersections with a view ray for that pixel, determining a depth order and a stroke order for intersecting fragments, each fragment having a color, alpha value, depth, and stroke order, assigning an intermediate color to each of the fragments, corresponding to a compositing of nearby fragments in stroke order, and assigning a color to the pixel that corresponds to a compositing of the fragments using the intermediate colors assigned to the fragments. The compositing may be done in depth order.

One embodiment of the present invention sets forth a technique for converting alpha values into pixel coverage masks. Geometric coverage is sampled at a number of “real” sample positions within each pixel. Color and depth values are computed for each of these real samples. Fragment alpha values are used to determine an alpha coverage mask for the real samples and additional “virtual” samples, in which the number of bits set in the mask bits is proportional to the alpha value. An alpha-to-coverage mode uses the virtual samples to increase the number of transparency levels for each pixel compared with using only real samples. The alpha-to-coverage mode may be used in conjunction with virtual coverage anti-aliasing to provide higher-quality transparency for rendering anti-aliased images.

One embodiment of the present invention sets forth a technique for converting alpha values into pixel coverage masks. Geometric coverage is sampled at a number of “real” sample positions within each pixel. Color and depth values are computed for each of these real samples. Fragment alpha values are used to determine an alpha coverage mask for the real samples and additional “virtual” samples, in which the number of bits set in the mask bits is proportional to the alpha value. An alpha-to-coverage mode uses the virtual samples to increase the number of transparency levels for each pixel compared with using only real samples. The alpha-to-coverage mode may be used in conjunction with virtual coverage anti-aliasing to provide higher-quality transparency for rendering anti-aliased images.

Method and apparatus for providing texture and / or alpha compression. In one embodiment, the present invention incorporates stored palettes, e.g., a luminance palette and a chrominance palette such that, compressed texture data pertaining to a fixed blocksize is decoded and applied to the stored palettes to extract the texel data. In a second embodiment, the present method uses a plane to estimate the alpha value at each of the texels, and a three-bit correction factor to adjust the estimate to produce a final alpha value.

The invention discloses a heart rate variability feature classification method based on generalized scale wavelet entropy, and belongs to the field of electrocardiosignal processing. The method comprises the steps that after an original electrocardiosignal to be processed is preprocessed through interference and baseline drift removal, R wave positioning is performed, and an HRV sequence is obtained by calculating the interval between every two R waves; discrete wavelet transform is performed on the HRV sequence to obtain discrete wavelet coefficients, and then alpha-order generalized wavelet entropy of all layers of the wavelet coefficients is calculated by selecting appropriate alpha values as needed; scales with the statistical difference are screened out to serve as feature layers according to the obtained entropy values, and the alpha-order generalized wavelet entropy values of the feature layers are utilized to construct feature vectors to perform classification identifying on the electrocardiosignal.

The invention discloses a video image pickup method with consistent time and space domains, of digit video process, which comprises that (1), interactive disperse that user interacts on a three-dimension video element, and obtains a shield via disperse calculation, and divides video element into foreground area, background area, and unknown area, (2), picking iterated video image that calculating out the alpha value of each point on the three-dimension video element as non-transparency, (3), foreground reconstruction with consistent time and space domains that according to the alpha value, calculating out the foreground color value with continuity at time and space domains. The inventive method can quickly, effectively, and high-quality pickup image of video, which can resolve the problems of prior video pickup method as discontinuous result and long process time, with high practicality.

A system and process for generating a two-layer, 3D representation of a digital or digitized image from the image and a pixel disparity map of the image is presented. The two layer representation includes a main layer having pixels exhibiting background colors and background disparities associated with correspondingly located pixels of depth discontinuity areas in the image, as well as pixels exhibiting colors and disparities associated with correspondingly located pixels of the image not found in these depth discontinuity areas. The other layer is a boundary layer made up of pixels exhibiting foreground colors, foreground disparities and alpha values associated with the correspondingly located pixels of the depth discontinuity areas. The depth discontinuity areas correspond to prescribed sized areas surrounding depth discontinuities found in the image using a disparity map thereof.

A method for classification of ECG beats into normal and different categories of abnormal beats. The method comprises the following steps, performed on a computing platform:a. performing a training phase comprising taking as an input one or more ECG beats that are pre-classified into the different categories, with each ECG beat decomposed into multiple features and defining membership functions for each beat category for each feature;b. performing an operating phase, wherein (i) for each ECG beat to be classified, decompose the ECG beat into the multiple features; (ii) compute values of each membership function identified in the step of performing the training phase for each feature of the ECG beat for the different categories; (iii) merge the membership function values for all features in an ECG beat in a manner as to get a single beat value for each beat category across the features; (iv) identify a value alpha in the range [0,1], such that the difference between the top two beat values across the different beat categories is more than or equal to the sum of the beat values of all the remaining beat categories multiplied by the value alpha and such that a desired percentage of normal or abnormal beat classification is obtained; (v) if an alpha value can be identified, then classify the beat to belong to the beat that has the highest beat value, otherwise classify the beat as abnormal.

A blending agent that can determine alpha values of a flattened image, where the flattened image includes at least one image that is generated by a multimedia platform. The blending agent can execute on a local computer to obtain image data that is generated by a first application that executes on the local computer. The blending agent can also obtain image data that is generated by a second application that executes on the local computer. A first graphic can then be rendered in a first color shade using the first application image data, and a second graphic can be rendered in a second color shade using the second application image data. In response to rendering each graphic, the blending agent can determine alpha values for the flattened image.

It is an object to provide an image generating system and program which can generate such an image as in the real world with reduced processing load. The alpha-value for each pixel in the original image is set to a value corresponding to its Z-value. The set alpha-value is used to perform alpha-blending between the original image and a defocused image. As the difference between the Z-value of the focus and the depth value increases, the synthesis ratio of the defocused image is increased. The range of depth of field and defocusing effect are controlled by varying the corresponding relationship between the Z-value and the alpha-value. The alpha-value is set such that the alpha-value for an pixel located in an area AR1 between Z1 and Z2 will be set to α1, the alpha-value for an pixel located in an area AR2 between Z2 and Z3 will be set to α2 and so forth. The alpha-value is set by updating the alpha-value of a pixel located farther from an object when the object is drawn in a frame buffer. When the original image is set as a texture which is in turn mapped through the bi-linear filtering method, the defocused image is generated by shifting the texture coordinates by a value smaller than one texel.

The present invention discloses a method for measuring the parameter of the universal raster based on LCD free stereo display device of cylindrical raster. The method comprises the following steps: 1) estimating an actual slope angle alpha value of the cylindrical raster based on the total-black and total-white RGB image; 2) estimating the actual line number LPI value of the cylindrical raster based on the total-black and total-white RGB image; and 3) testing the image at multiple viewing points based on the actual scenery, and fine-adjusting the actual slope angle alpha value and actual line number LPI value of the cylindrical raster. Compared with the existing method for measuring the parameter of raster, the method of the invention has the following advantages: firstly high universality for the cylindrical raster with random line number LPI value and random slope angle alpha value; secondly simplicity and convenience, wherein the test picture is not required to be printed, and the parameter of raster can be accurately measured by observing through the LCD free stereo display device of cylindrical raster; and thirdly high precision, the measuring process is combined with actual scenery for testing image with multiple viewing points to lead to more accurate raster parameter which is obtained by measuring.

Anti-aliased output based on a scene comprising a plurality of objects may be generated. In one embodiment, a number of samples for an anti-aliasing operation is determined. For each of the samples: each of the objects may be translated in space according to jitter values; the objects may be multiplied by a fractional alpha value for the respective sample; a fractional alpha value stored in a buffer may be modified by a transparency value for each transparent object; and the objects may be rendered to the buffer by blending the objects with existing contents of the buffer. The fractional alpha values may vary from sample to sample. In one embodiment, the plurality of objects comprises one or more opaque objects and one or more transparent objects. In one embodiment, the objects may be rendered directly to a screen buffer.

A video display pipe used for processing pixels of video and / or image frames may include edge Alpha registers for storing edge Alpha values corresponding to the edges of an image to be translated across a display screen. The edge Alpha values may be specified based on the fractional pixel value by which the image is to be moved in the current frame. The video pipe may copy the column and row of pixels that are in the direction of travel, and may apply the edge Alpha values to the copied column and row. The edge Alpha values may control blending of the additional column and row of the translated image with the adjacent pixels in the original frame, providing the effect of the partial pixel movement, simulating a sub-pixel rate of movement.

The invention provides an interactive image processing method used for a video. The method comprises the following steps of extracting key frames from a video sequence; overlaying frames between adjacent key frames one by one to form a key frame cluster used for interactive marking; distinguishing the images of the key frames into a foreground area, a background area and an unknown area; carrying out spectral clustering and alpha value estimation on the key frames to obtain the sectional drawing result of the key frames; and finally, transferring the sectional drawing result of the key frames to the whole video sequence to obtain a final sectional drawing result. Because the foreground points are interactively marked on each key frame cluster, spatiotemporal information contained in the video sequence is fully utilized, and the naturalness and the intuition of user interaction are guaranteed on the basis of the user interface of the key frame, thereby conforming to the observation habit of a human visual system. Marking on the key frame clusters replaces independently marking on the key frames, and therefore the method has strong robustness for the situation with the big foreground object local action.

A blend unit in a display pipe for processing pixels of video and / or image frames may include multiple blend stages, where each blend stage may include multiple levels for blending pixels according to a blend equation. The blending operation includes blending pixel color values and Alpha values. A multiplication may be performed at each blend level, necessitating Alpha value normalizations in the form of divisions to obtain pixel color values having a specified bit-length. Color value normalizations are not needed when the desired result is an actual color value. In order to reduce the compounding of errors that may result from the introduction of an error at each division, Alpha value normalizations may not be performed at each blend level, carrying the intermediate results forward in fractional form—through one or multiple blend stages—until the end of the blending operation. At or after the final blend level—in each blend stage, or in a final blend stage—a single division may performed, preventing the compounding of errors that would be incurred at each blend level if a division at each blend level were performed.

Provided is a method where a background ARGB must not be taken into consideration before a foreground ARGB including TrueType fonts is combined therewith to create a composite image for display on a display device. A common alpha value is made use of in the process of combining the foreground ARGB with the background ARGB to create the composite image.

Flood filling a region with anti-aliasing. In forming a fill region, a candidate pixel can be included in the region based on a color of the pixel and also a color of a neighbor of the point. The inclusion basis may be a color distance between a seed color and the points, and a color distance between the seed color and the point's neighbor. Points in the region may be weighted according to their color distance relative to the seed color, where the color distance can also take into account alpha values. Flood filling may be anti-aliased by assigning alpha values to pixels in gaps between corners of the fill region, where an alpha value may be proportional to a point's contribution to the gap. Dimples in a fill region may be tested for and used to determine which of two flood fill algorithms to use.

Methods and apparatus for packing images into a frame and / or including additional content and / or graphics are described. A composite image is generated including at least one image in addition to another image and / or additional image content. A playback device received an encoded frame including a captured image of a portion of and environment and the additional image content. The additional image content is combined with or used to replace a portion of the image of the environment during rendering. Alpha value mask information is communicated to the playback device to provide alpha values for use in image combining. Alpha values are communicated as pixel values in the encoded frame or as additional information. One or more mesh models and / or information on how to map image content to the one or more mesh models is communicated to the playback device for use in rendering image content recovered from a frame.

Two or more images are combined by designating one image as a threshold image based on information within the images themselves. Pixels in this threshold image are then segregating into foreground and background pixels according to some criteria. An alpha value is set to zero for background pixels indicating that these pixels in the threshold image will make no contribution in the combined image. The foreground pixels of the threshold image are set to some value greater than zero. Alpha values in the non-threshold image(s) are set such that the total value of alphas for pixels in the images to be combined totals one (indicating 100% total contribution).

A fast splitting method for image includes the following steps: a) splitting the image into three parts of foreground area, unknown area and background area; b) calculating colour component F and B for foreground and background by setting any point C in unknown area as colour of according to the split areas; and c) adjusting colour value for F and B according to the estimated colour component of foreground and back ground, and finally to estimate alpha value of c point.

The invention discloses a universal three-dimensional picture synthesis method based on lenticular grating LCD (liquid crystal display) free three-dimensional display device, comprising the following steps: 1) measuring the actual lines LPI value and actual elevation angle Alpha value of the lenticular grating; 2) carrying out sampling on N viewport pictures according to the required viewport number N and resolution factor H*V of synthesizing three-dimensional pictures, the vertical resolution factor of each viewport image being sampled to be V / v, and the horizontal resolution factor being sampled to be H / h, wherein, N is more than or equal to 2, v*h is equal to N, and v is an integral value mostly close to N; 3) filling the RGB (red, green, blue) components of N sampled viewport pictures in the RGB components of the three-dimensional pictures according to the actual lines LPI value, the actual elevation angle Alpha value and the dot pitch DOT of an LCD display so as to obtain the required three-dimensional pictures. The universal three-dimensional picture synthesis method is applied to lenticular grating with random lines LPI value and random elevation angle Alpha value, and can quickly and accurately synthesize three-dimensional pictures with random viewport numbers and random resolution factor.

A method of encoding a video data signal (15) is provided, together with a method for decoding. The encoding comprises providing color information (51) for pixels in an image, providing a depth map with depth information (52) for the pixels, providing transition information (56, 57, 60, 70, 71) being representative of a width (63, 73) of a transition region (61, 72) in the image, the transition region (61, 72) comprising a depth transition (62) and blended pixels in which colors of a foreground object and a background object are blended, and generating (24) the video data signal (15) comprising encoded data representing the color information (51), the depth map (52) and the transition information (56, 57, 60, 70, 71). The decoding comprises using the transition information (56, 57, 60, 70, 71) for determining the width (63, 73) of the transition regions (61, 72) and for determining alpha values (53) for pixels inside the transition regions (61, 72). The determined alpha values (53) are used for determining the color of a blended pixel at the transition of a foreground object and a background object.

The invention discloses a combined wind power prediction method based on wind speed fluctuation characteristic extraction. The combined wind power prediction method includes the following steps that wind speed data acquired by training samples are normalized; time windows are established for the normalized wind speeds, and multifractal spectrum analysis is performed in the time windows; the widths omega of singular index alpha value taking intervals of the time windows and symmetry parameters S of peak value differences Deltaf (alpha) and f (alpha) of a singular spectrum function f (alpha) are analyzed and compared. The wind speeds are classified according to the parameters [omega, Delta f (alpha), S], and the sizes of the time windows are further adjusted. Divided categories are sequentially trained by using an extreme learning machine, a support vector machine and an optimization regression power curve method, average monthly precision comparison is conducted on produced prediction results, one of the methods is selected to serve as an optimum single algorithm for the categories, and trained models are obtained. Same classification and modeling are conducted on test samples, corresponding optimum single algorithms are selected for different models for respective prediction, and finally final prediction results are obtained through combination.