| Patent application number | Description | Published |
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| 20110090242 | SYSTEM AND METHOD FOR DEMOSAICING IMAGE DATA USING WEIGHTED GRADIENTS - Various techniques are provided herein for the demosaicing of images acquired and processed by an imaging system. The imaging system includes an image signal processor and image sensors utilizing color filter arrays (CFA) for acquiring red, green, and blue color data using one pixel array. In one embodiment, the CFA may include a Bayer pattern. During image signal processing, demosaicing may be applied to interpolate missing color samples from the raw image pattern. In one embodiment, interpolation for the green color channel may include employing edge-adaptive filters with weighted gradients of horizontal and vertical filtered values. The red and blue color channels may be interpolated using color difference samples with co-located interpolated values of the green color channel. In another embodiment, interpolation of the red and blue color channels may be performed using color ratios (e.g., versus color difference data). | 04-21-2011 |
| 20110090351 | TEMPORAL FILTERING TECHNIQUES FOR IMAGE SIGNAL PROCESSING - Various techniques for temporally filtering raw image data acquired by an image sensor are provided. In one embodiment, a temporal filter determines a spatial location of a current pixel and identifies at least one collocated reference pixel from a previous frame. A motion delta value is determined based at least partially upon the current pixel and its collocated reference pixel. Next, an index is determined based upon the motion delta value and a motion history value corresponding to the spatial location of the current pixel, but from the previous frame. Using the index, a first filtering coefficient may be selected from a motion table. After selecting the first filtering coefficient, an attenuation factor may be selected from a luma table based upon the value of the current pixel, and a second filtering coefficient may subsequently be determined based upon the selected attenuation factor and the first filtering coefficient. The temporally filtered output value corresponding to the current pixel may then be calculated based upon the second filtering coefficient, the current pixel, and the collocated reference pixel. | 04-21-2011 |
| 20110090370 | SYSTEM AND METHOD FOR SHARPENING IMAGE DATA - Various techniques relating to image sharpening are provided. In one embodiment, a luminance image is obtained based upon image data acquired by an image sensor. A multi-scale unsharp mask, which may include at least two Gaussian filters of difference radii, is applied to the luminance image to determine a plurality of unsharp values. Each of the unsharp values may be compared to a corresponding threshold and, for the unsharp values that exceed their respective thresholds, the unsharp value is multiplied by a corresponding gain and added to a base image, which may be selected as the luminance image or the output of one of the Gaussian filters. Each gained unsharp value may be summed with the base image to produce a final sharpened output. In some embodiments, an attenuated gain may be applied to unsharp values that do not exceed their respective thresholds. | 04-21-2011 |
| 20110090371 | SYSTEM AND METHOD FOR DETECTING AND CORRECTING DEFECTIVE PIXELS IN AN IMAGE SENSOR - Various techniques are provided for the detection and correction of defective pixels in an image sensor. In accordance with one embodiment, a static defect table storing the locations of known static defects is provided, and the location of a current pixel is compared to the static defect table. If the location of the current pixel is found in the static defect table, the current pixel is identified as a static defect and is corrected using the value of the previous pixel of the same color. If the current pixel is not identified as a static defect, a dynamic defect detection process includes comparing pixel-to-pixel gradients between the current pixel a set of neighboring pixels against a dynamic defect threshold. If a dynamic defect is detected, a replacement value for correcting the dynamic defect may be determined by interpolating the value of two neighboring pixels on opposite sides of the current pixel in a direction exhibiting the smallest gradient. | 04-21-2011 |
| 20110090380 | IMAGE SIGNAL PROCESSOR FRONT-END IMAGE DATA PROCESSING SYSTEM AND METHOD - Various techniques are provided herein for processing raw image data in front-end processing logic of an image signal processing system. In one embodiment, the front-end processing logic includes a statistics processing unit configured to process raw image data acquired by an image sensor to obtain one or more sets of statistics. The statistics processing unit may first correct defective pixels in the raw image data and then correct lens shading errors in the raw image data prior to extracting the statistics information. In certain embodiments, black level compensation may be applied between the defective pixel correction and lens shading correction steps, and inverse black level compensation may be applied between the lens shading correction step and the extraction of the statistics information. The acquired statistics information may be utilized by an image signal processing pipeline for converting the raw image data into a color (e.g., RGB) and/or luma (e.g., YCbCr) image. | 04-21-2011 |
| 20110090381 | SYSTEM AND METHOD FOR PROCESSING IMAGE DATA USING AN IMAGE PROCESSING PIPELINE OF AN IMAGE SIGNAL PROCESSOR - Various techniques are provided herein for processing raw image data acquired using a digital image sensor in an image processing pipeline of an image signal processing system. In one embodiment, the image processing pipeline may first process the raw image data (e.g., Bayer image data) for the detection and correction of defective pixels. Next, the image processing pipeline may process the raw image data to reduce noise. Thereafter, the image processing pipeline may correct lens shading distortion in the raw image data and, subsequently, apply a demosaicing algorithm to convert the raw image data into full color image data (e.g., RGB image data). The color image data may be further processed by the image processing pipeline to correct color and gamma properties prior to being converted into a luma and chroma color space (e.g., YCbCr color space). | 04-21-2011 |
| 20110091101 | SYSTEM AND METHOD FOR APPLYING LENS SHADING CORRECTION DURING IMAGE PROCESSING - Various techniques for lens shading correction are provided. In one embodiment, the location of a current pixel is determined relative to a gain grid having a plurality of grid points distributed in horizontal and vertical directions. If the location of the current pixel corresponds to a grid point, a lens shading gain associated with that grid point is applied to the current pixel. If the location of the current pixel is between four grid points, bi-linear interpolation is applied to the four grid points to determine an interpolated lens shading gain. In another embodiment, a radial gain grid may be provided, and lens shading gains may be interpolated based upon grid points neighboring a current pixel in the radial and angular directions. In a further embodiment, a radial lens shading gain is determined by determining a radial distance from the center of the image to the current pixel and multiplying the radial distance by a global gain parameter based upon the color of the current pixel. The radial lens shading gain is then applied to the current pixel, along with the determined lens shading grid gain or lens shading interpolated gain. | 04-21-2011 |
| 20120013758 | Memory Compression Technique with Low Latency per Pixel - In an embodiment, a compression unit is provided which may perform compression of images with low latency and relatively little hardware. Similarly, a decompression unit may be provided which may decompress the images with low latency and hardware. In an embodiment, the transmission of compressed coefficients may be performed using less than two passes through the list of coefficients. During the first pass, the most significant coefficients may be transmitted and other significance groups may be identified as linked lists. The linked lists may then be traverse to send the other significance groups. In an embodiment, a color space conversion may be made to permit filtering of fewer color components than might be possible in the source color space. | 01-19-2012 |
| 20120014595 | Color Space Conversion for Efficient Filtering - In an embodiment, a compression unit is provided which may perform compression of images with low latency and relatively little hardware. Similarly, a decompression unit may be provided which may decompress the images with low latency and hardware. In an embodiment, the transmission of compressed coefficients may be performed using less than two passes through the list of coefficients. During the first pass, the most significant coefficients may be transmitted and other significance groups may be identified as linked lists. The linked lists may then be traverse to send the other significance groups. In an embodiment, a color space conversion may be made to permit filtering of fewer color components than might be possible in the source color space. | 01-19-2012 |
