Abstract:
A video noise reduction system for a set of video frames that computes a first motion signal using a current frame and multiple consecutive previous frames, computes a second motion signal using the current frame and the processed preceding frame; computes the multi-frame temporal average of the current frame and multiple consecutive previous frames; computes the recursive average of the current frame and the processed preceding frame; generates a temporal filtered signal by soft switching between the multi-frame temporal average and the recursive average based on the first motion signal; applies a spatial filter to the current frame to generate a spatial filtered signal; and combines the temporal filtered signal and the spatial filtered signal based on the second motion signal to generate a final noise reduced video output signal.
Abstract:
There are provided video encoders and corresponding methods for encoding video data for an image that is divisible into macroblocks. A video encoder includes an encoder for performing into mode selection when encoding a current macroblock by testing a first subset of intra modes to compute a rate distortion cost, and utilizing the rate distortion cost to determine whether to terminate the intra mode selection and which additional intra modes, if any, are to be examined with respect to the current macroblock.
Abstract:
High dynamic range image sensors and image reconstruction methods for capturing high dynamic range images. An image sensor that captures high dynamic range images may include an array of pixels having two sets of pixels, each of which is used to capture an image of a scene. The two sets of pixels may be interleaved together. As an example, the first and second sets of pixels may be formed in odd-row pairs and even-row pairs of the array, respectively. The first set of pixels may use a longer exposure time than the second set of pixels. The exposures of the two sets of pixels may at least partially overlap in time. Image processing circuitry in the image sensors or an associated electronic device may de-interlace the two images and may combine the de-interlaced images to form a high dynamic range image.
Abstract:
An imager includes an array of pixels arranged in rows and a control circuit for sequentially capturing first and second image frames from the array of pixels. The control circuit is configured to sequentially capture first and second pairs of adjacent rows of pixels during first and second exposure times, respectively, when capturing the first image frame. The control circuit is also configured to sequentially capture first and second pairs of adjacent rows of pixels during second and first exposure times, respectively, when capturing the second image frame. The first exposure times during the first and second frames are of similar duration; and the second exposure times during the first and second frames are of similar duration. The control circuit is configured to detect motion of an object upon combining the first and second image frames and, then, correct for the motion of the object.
Abstract:
Electronic devices may include image sensors and processing circuitry. Image sensors may be used to capture multiple exposure images. Processing circuitry may be used to combine multiple exposure images into high-dynamic-range images. A motion correction method is provided that detects motion between multiple exposure images without using a frame buffer. A noise model is used to separate noise from motion for more accurate motion detection. A dilation operator may be used to enlarge a motion mask generated by the motion detector. Motion-corrected images may be generated from the multiple exposure images using a soft switch based on the motion strength. Motion-corrected multiple exposure images may be combined to generate a motion-corrected HDR image. A smoothing filter may be applied to the motion region of the motion-corrected HDR image. A blooming correction may be used to eliminate color artifacts in the motion-corrected HDR image.
Abstract:
Adaptive local tone mapping may be used to convert a high dynamic range image to a low dynamic range image. Tone mapping may be performed on an on a Bayer domain image. A high dynamic range image may be filtered to produce a luminance signal. An illumination component of the luminance signal may be compressed. A reflectance component of the luminance signal may be sharpened. After the luminance signal has been processed, it may be used in producing an output image in the Bayer domain that has a lower dynamic range than the input image. The output Bayer domain image may be demosaiced to produce an RGB image. Tone-mapping may be performed with a tone-mapping processor.
Abstract:
A method and apparatus for filtering video data. First and second frames of the video data are stored. Motion adapted spatio-temporal filter (MASTF) pixel values of the second frame are calculated using pixel values of the first and second frames. The second frame is compared to the first frame to estimate motion vectors (MVs) for the second frame. Pixel MV error level indicators for the second frame are determined using the pixel values of the first and second frames and the MVs of pixels in the second frame. Motion compensated temporal filter (MCTF) pixel values of the second frame are calculated using the pixel values of the first and second frames and the MVs of pixels in the second frame. For each pixel in the second frame, a filtered pixel value is calculated using its MASTF and MCTF pixel values and its pixel MV error level indicator.
Abstract:
A method and apparatus for image stabilization while mitigating the amplification of image noise by using a motion adaptive system employing spatial and temporal filtering of pixel signals from multiple captured frames of a scene.
Abstract:
A superior Color Transient Improvement technique is adaptive to the local image features, so that more natural color edge transition improvement can be accomplished. A gain control function is provided that depends on the local image feature so that different regions of the image can be treated differently. Further, a correction signal is controlled in such a way (by the local image feature) that neither undershoot nor overshoot occurs, eliminating the need for post-processing for undershoot/overshoot removal.
Abstract:
A method and apparatus for filtering video data. First and second frames of the video data are stored. Motion adapted spatio-temporal filter (MASTF) pixel values of the second frame are calculated using pixel values of the first and second frames. The second frame is compared to the first frame to estimate motion vectors (MVs) for the second frame. Pixel MV error level indicators for the second frame are determined using the pixel values of the first and second frames and the MVs of pixels in the second frame. Motion compensated temporal filter (MCTF) pixel values of the second frame are calculated using the pixel values of the first and second frames and the MVs of pixels in the second frame. For each pixel in the second frame, a filtered pixel value is calculated using its MASTF and MCTF pixel values and its pixel MV error level indicator.