67results about How to "Improve interpolation" patented technology

For correcting a defective portion in image data having a plurality of pixels, a plurality of first target pixels are selected one after another from normal pixels. Any defective pixel is detected within a predetermined area extending about each selected first target pixel as its center and also a normal pixel present on an extension line connecting the first target pixel and the defective pixel is detected and set as a second target pixel. For each defective pixel present between the first target pixel and the second target pixel, an interpolation value is calculated. Further, for each pair of the first target pixel and the second target pixel, a weight coefficient is calculated. The technique stores such plurality of interpolation values and weight coefficients. Then, by using the weight coefficient, a weighted average value of the interpolation values for each defective pixel is calculated and this weighted average value is used for the correction of each defective pixel.

The invention relates to an edge-detection-based image enlarging and reducing method. Traditional method would produce ambiguity and saw teeth on the edge of enlarged and reduced image. This invention comprises: (a) making use of the size of image fore-and-aft enlarging and reducing to obtain position in coordinate of point to be insert in original image, (b) making use of space coherence among picture elements of image to judge existence of edge with recursion and confirm direction of edge, (c) making use of edge of property judged in step (b) to employ cubic convolution interpolation in non-edge area and employ bilinear interpolation in the edge direction in fringe area.

Described are methods for obtaining seismic signals representative of properties of the earth's interior, including the steps of obtaining near-field acoustic signals recorded in the vicinity of a seismic source (13), muting from the near-field acoustic signals at least partly signals representing direct arrivals from the seismic source (13), and using a remaining part of the obtained signals as estimate of a zero-offset data set. The zero-off set data set can then be used to interpolate data from conventional acquisition location, such as streamers (11), to locations closer to the source (13).

The invention discloses a method and a device for processing mobile terminal images, which are used for increasing the processing speed. The method comprises the steps that: area-of-interest detection is carried out on an image to be processed according to area-of-interest prior information which is obtained in advance; and the resolution of a detected area of interest is improved. The device comprises an area-of-interest detection module and a resolution improving module. Compared with the prior art, an area-of-interest detection part fully takes the prior information of a user interested object which is obtained in advance into consideration, and the detection accuracy of the area of interest is improved; and the resolution improving part of the area of interest only improves the resolution of the detected area of interest, so that the processing speed can be increased.

The invention discloses a deinterlacing method based on edge self adaption. The method solves a problem, which exist in the prior art, that calculation amount is increased to ensure accuracy of edge directions so that technical effects that not only accuracy of edge directions and an interpolation result are ensured but also the calculation amount is reduced are realized. The method includes: receiving brightness values of a first group of pixels at a previous line of a pixel to be interpolated and a second group of pixels at a following line of the pixel to be interpolated; determining marginalities of the first group of pixels and the second group of pixels according to the brightness values; determining pixel pairs with the same marginality in the first group of pixels and the second group of pixels; calculating correlation values in directions of the pixel pairs with the same marginality; comparing the correlation values and selecting a pixel pair corresponding to the smallest correlation value as an edge direction; and performing self-adaptive interpolation on the determined edge direction and determining brightness of the pixel to be interpolated.

The invention discloses a scale transformation method based on an image edge direction, comprising the following steps: (a) acquiring the coordinate positions of points to be interpolated in an original image according to the transformation ratio of the image; (b) judging the direction of each image edge by utilizing the spatial correlation of the vertical direction and the horizontal direction of the image; (c) analyzing interpolation methods suitable for each point to be interpolated according to the judging result of the step (b), i.e. adopting a cubic convolution interpolation method for large-angle edge direction, and adopting a linear interpolation method for small-angle edge direction; and (d) carrying out interpolation operation based on the image edge direction for each pixel point according to the judging results of the step (b) and the step (c). In the invention, by utilizing the spatial correlation of the adjacent pixels of the points to be interpolated, the edge direction information of the image is extracted in a multi-direction and multi-level way, and the judgment is accurate and correct.

Disclosed herein is a position sensor including, a magnetic recording medium including two incremental layers and an absolute layer, the absolute layer provided between the incremental layers, each of the layers having magnetic information recorded therein, and a magnetic detection section including three magnetoresistance effect devices opposite to the layers of the magnetic recording medium, being moved relative to the magnetic recording medium in the extending direction of the layers, and being operative to detect the magnetic information in the layers by the magnetoresistance effect devices.

The invention discloses an image interpolation method and a device. The method comprises steps: on the basis of color component values of a pixel point, regional division is carried out on the image, wherein the image is stored in a CFA data format; on the basis of gradient values of the pixel point, interpolation directions of a green component of the pixel point in a blue channel and a red channel are determined; on the basis of the interpolation direction of the green component, weights of the green component of the pixel point in the blue channel and the red channel are determined; on the basis of the regional division, the interpolation direction of the green component of the pixel point and the weight of the green component of the pixel point, interpolation of the green component of each pixel point in the blue channel and the red channel is acquired; and on the basis of the interpolation of the green component, the red component interpolation and the blue component interpolation of the pixel point of each channel are acquired. The difference between the interpolation result and the original real image can be effectively reduced, the image has good interpolation effects, false color generated in the case of interpolation of the CFA image can be effectively reduced, and the interpolation method is simple and easy to realize.

A low-cost magnetic encoder that facilitates generating sinusoidal magnetic flux is provided. First and second permanent magnet arrays each include a plurality of permanent magnets arranged such that magnetic poles having the same polarity face each other, and magnetic yokes disposed on side surfaces of the plurality of permanent magnets. The permanent magnets and the magnetic yokes are arranged side by side at a predetermined pitch in the moving direction of a magnetic piece array. First and second magnetic detectors corresponding to the first and second permanent magnet arrays are disposed in a positional relationship allowing detection of leakage magnetic flux generated when the permanent magnet arrays and the magnetic piece array are displaced with respect to each other.

An interpolation filter for interpolating a digital signal includes a cascade of template filters, each having an identical template transfer function A(z), which is arranged to receive and filter an input sequence representing the digital signal sampled at an input sampling rate. Ancillary circuitry is coupled to the cascade so as to produce first and second phase outputs. A multiplexer is arranged to multiplex the phase outputs in order to generate an output sequence having an output sampling rate equal to twice the input sampling rate.

The invention discloses a Bayer format image interpolation method based on gradients and a display device based on an FPGA. Aiming at color recovery of red and blue pixels, improvement is carried out on bilinear interpolation; averaged interpolation processing is no longer simply carried out to pixels; horizontal and vertical gradients and left and right diagonal gradients of the pixels are calculated according to Sobel operators; horizontal and vertical weighting coefficients and left and right diagonal weighting coefficients are determined according to the ratio relation of the horizontal and vertical gradients and the ratio relation of the left and right diagonal gradients; therefore, the interpolation results of the red and blue pixels are obtained. The display device in the invention takes the FPGA as a core platform; the parallel processing and modular design advantages of the FPGA are utilized fully; the realization time of module functions such as graphic image generation, collection of video image data, color interpolation processing and graph overlapping and displaying is reduced; and the display demands of the airborne display device for high resolution and high rate graphic images are satisfied.

Improved correlation techniques employ data from forward (template-to-reference) and reverse (reference-to-template) correlation to identify valid correlation peaks, enforce symmetry in correlation peaks, and / or combine forward and reverse correlation data. In embodiments, these techniques eliminate or reduce rms noise in a recovered signal peak location by enforcing correlation peak symmetry. The forward and reverse correlation methods described herein may be used for validation of correlation peaks, detection of outlier data points and improved interpolation, such as for higher accuracy localization of a peak center with sub-pixel resolution.

The invention relates to a depth image enhancement method for a TOF camera, and belongs to a depth image processing method. The method comprises the steps of firstly performing noise suppression processing on a depth image; and secondly performing interpolation amplification on the low-resolution TOF depth image by utilizing an inter-pixel distance and edge direction information in the image. According to the method, the resolution of the depth image is increased, and the visual quality of the depth image is improved; the method can be applied to the occasion for enhancing the depth image collected by the TOF camera and the like; and a depth image interpolation algorithm also can be popularized and applied to the occasion for interpolation amplification of other images.

A de-interlacing method and apparatus, and a video decoder and a reproducing apparatus using the de-interlacing method or apparatus are provided. The de-interlacing method includes the steps of: (a) determining an interpolation direction based on a plurality of left and right pixels in left and right pixel columns located at left and right sides of the to-be-interpolated pixel, respectively; and (b) obtaining an interpolated pixel value by performing an interpolation process in a determined interpolation direction. According to the de-interlacing method, it is possible to improve interpolation performance by easily and effectively detecting an edge located in a near-horizontal direction without increasing calculation amount.

A method for reconstructing a color image from a sensor which comprises a plurality of pixels arranged in a matrix of rows and columns is provided. The sensor is provided with a color filter array such that each pixel corresponds to one of three basic colors. The three basic colors are provided on the sensor in a predetermined pattern. The sensor outputs a detected value for each of the plurality of pixels. The method comprises the steps: for each of the plurality of pixels: accepting a detected value obtained for the corresponding one of the three basic colors and, for each of the respective two other basic colors, calculating a vertical interpolation value and a horizontal interpolation value and selecting either the vertical interpolation value or the horizontal interpolation value; outputting the accepted detected value and the selected interpolation values. The vertical interpolation and the horizontal interpolation are calculated based on the detected values for pixels in a 5×5 pixel environment around the respective pixel.

The invention discloses a Bayer image processing method and system, electronic equipment and a storage medium. The processing method comprises the following steps: acquiring a plurality of neighborhood pixel points of each target pixel point in a Bayer image; performing interpolation on the channels of the target pixel points corresponding to the other two color parts to obtain a first interpolation result set and a second interpolation result set; obtaining the edge direction of the target pixel point; obtaining a first weight of each first interpolation result in the first interpolation result set and a second weight of each second interpolation result in the second interpolation result set; and filtering the interpolation result according to the first weight and the second weight by adopting a weighted median filtering algorithm to obtain full-color pixel data of the target pixel point, and further generating a full-color image corresponding to the Bayer image. According to the method, different textures of the Bayer image can be effectively recovered, and pseudo-color and zipper effects generated by an existing interpolation technology are effectively reduced.

The invention discloses an improved RoIAgign region feature aggregation algorithm, and the method comprises the following steps: enabling the geometric centers of a source image and a target image tobe aligned, and enabling the alignment method to adopt improved central point alignment; Then, performing bilinear interpolation calculation, and converting floating point operation into integer operation in order to improve the calculation efficiency and the calculation precision; According to the invention, a RoIAgign region feature aggregation method is optimized; central point coordinates of the source image and the target image are overlapped; all pixels of the source image are fully and uniformly utilized in the mapping process; Compared with the prior art, the method has the advantagesthat the region information loss caused by feature map pooling is avoided, the target image interpolation effect is better, the calculation amount is greatly reduced by converting the floating point operation into the integer operation, and the calculation efficiency of the shift operation is much higher than that of the common multiplication and division operation, so that the calculation efficiency is improved, and the hardware requirement is reduced.

An anatomic structure of interest is contoured in 3D source data by selecting a first subset of data in a first image slice at a first axial position (z1). A first set of instructions identifies a first edge (E1) of the anatomic structure of interest in the first image slice. Then, a second subset of data is selected in a second image slice at a second axial position (z2); and a second set of instructions identifies a second edge (E2) of the anatomic structure of interest in the second image slice. A three-dimensional shell (3DS) is calculated based on the first and second edges (E1; E2) and the source data (SD). The three-dimensional shell (3DS) represents an approximation of a delimiting surface that separates the anatomic structure of interest from adjoining tissues in the 3D source data.

The invention provides an image interpolation method and device. The method includes: as for each original point in a candidate image for interpolation, calculating an equivalent displacement coefficient of an isoluxline corresponding to the original pixel point according to the gray values of the original pixel point and the gray values of other original pixel points in areas adjacent to the original pixel points; constructing an isoluxline interpolation gridding according to the equivalent displacement coefficient; inserting interpolation pixel points into the isoluxline interpolation gridding according to a predetermined interpolation method until an interpolation result candidate image corresponding to the interpolation candidate image is obtained. According to the invention, the accuracy of the determined equivalent displacement coefficient of the isoluxline can be improved and therefore the image interpolation effect is improved further.

The invention relates to a digital zoom device and method. The digital zoom device comprises a DSP (Digital Signal Processor) module and an FPGA (Field Programmable Gate Array) module, wherein the DSP module is used for acquiring an original image and outputting image information of the original image, and the FPGA module is connected with the DSP module and is used for receiving the image information output by the DSP module, carrying out buffering and shooting processing on the original image according to configuration parameters, and outputting a processed image; and the DSP module is used for receiving the processed image output by the FPGA module, carrying out interpolation and amplification processing on the processed image, and outputting an amplified image. The digital zoom method comprises the following steps that: (S1) the DSP module outputs the image information of the acquired original image; (S2) the FPGA module carries out buffering and shooting processing on the original image according to the configuration parameters, and outputs the processed image; and (3) the DSP module carries out interpolation and amplification processing on the processed image, and outputs the amplified image. The device and the method have the advantages that both the high operating speed of an FPGA and the strong operational capability of a DSP are sufficiently utilized, so that image data can be processed in time; and the interpolation effect is good, the response is fast, and the work efficiency is high.

An anatomic structure of interest is contoured in 3D source data by selecting a first subset of data in a first image slice at a first axial position (z1). A first set of instructions identifies a first edge (E1) of the anatomic structure of interest in the first image slice. Then, a second subset of data is selected in a second image slice at a second axial position (z2); and a second set of instructions identifies a second edge (E2) of the anatomic structure of interest in the second image slice. A three-dimensional shell (3DS) is calculated based on the first and second edges (E1; E2) and the source data (SD). The three-dimensional shell (3DS) represents an approximation of a delimiting surface that separates the anatomic structure of interest from adjoining tissues in the 3D source data.

The invention provides a foundation soil layer contour map drawing method, and belongs to the technical field of geotechnical engineering investigation, and the method comprises the following steps: S1, building a foundation soil contour map drawing drilling database; s2, processing abnormal data of a foundation soil layer; s3, surveying a drill hole data display point; s4, carrying out drilling and thinning; s5, analyzing the distance between the drill holes; and s6, drawing a foundation soil burial depth contour map. The method is concise in step, convenient to use, high in engineering applicability, rapid and convenient in mapping, high in precision and particularly suitable for foundation soil layer development distribution rule research of regional geology and geotechnical engineeringinvestigation projects.

The invention discloses an image processing method based on Bayer arrangement, and the method comprises the following steps of S01, obtaining a Bayer image from a photosensitive element covered with acolor filter array, and carrying out the G-channel interpolation in an R pixel unit and a B pixel unit of the Bayer image; S02, calculating an edge judgment operator of the G pixel unit; calculatinga direction judgment operator corresponding to the G pixel unit according to the relative size of the edge judgment operator; carrying out B-channel interpolation and R-channel interpolation in the Gpixel unit by combining the edge judgment operator and the direction judgment operator; and S03, performing R-channel interpolation and B-channel interpolation in the B pixel unit and the R pixel unitrespectively. According to the image processing method provided by the invention, the G pixel unit is used for providing the direction judgment information for interpolation of the R pixel unit and the B pixel unit, the problem of direction judgment difficulty caused by the sparse sampling of the R pixel unit and the B pixel unit is solved, and the purpose of reducing the visual artifacts is achieved.

The invention discloses a gradient-based Bayer format image interpolation method and an FPGA-based display device. For the color recovery of red and blue pixels, an improvement is made in bilinear interpolation, and no simple averaging is performed on the pixels. Instead, calculate the horizontal and vertical gradients and left and right diagonal gradients of pixels according to the Sobel operator, and then determine the horizontal gradient according to the ratio relationship between the horizontal and vertical gradients and the ratio relationship , the vertical weighting coefficient and the left and right diagonal weighting coefficients, so as to obtain the interpolation result of the red and blue pixels. In the present invention, the display device adopts FPGA as the core platform, fully utilizes the advantages of its parallel processing and modular design, and reduces the realization time of module functions such as graphic picture generation, video image data collection, color interpolation processing, graphic superposition and display , which meets the display requirements of high-resolution and high-speed graphic images of an airborne display device.