A method and system for ghost detection in an image are described. Initially, a mode for detecting ghosting artifact is determined for deciding whether to perform analog or inter field ghosting analysis on the image. Based on the determined mode, a plurality of fields is determined to generate a field overlay image. The image is updated based on the field overlay image and an inter-field average of absolute difference is computed. A significant edge image, a principal edge image, and a delta gradient image are generated. A confidence score indicative of a likelihood of ghosting artifact in the image, is computed based on at least the inter-field average of absolute difference, a first and a second count of pixels in the delta gradient image, a third count of pixels in the principal edge image, and a count of rows of the significant edge image that correspond to the ghosting artifact.

A device is described. The device includes a data interface connector, an application processor, and interface circuitry. The application processor can receive signals via an antenna. The interface circuitry can be coupled between the application processor and the data interface connector. The data interface circuitry can determine a change in a signal property of one of the signals, the change being caused by an impedance mismatch between the data interface connector and a media consumption device. The data interface circuitry can also send the application processor a signal property setting corresponding with the change. The application processor can adjust the signal property of a subsequent one of the signals, in response to the signal property setting from the interface circuitry, to obtain an adjusted signal. The application processor can also send the adjusted signal to the media consumption device.

A device is described. The device includes a data interface connector, an application processor, and interface circuitry. The application processor can receive signals via an antenna. The interface circuitry can be coupled between the application processor and the data interface connector. The data interface circuitry can determine a change in a signal property of one of the signals, the change being caused by an impedance mismatch between the data interface connector and a media consumption device. The data interface circuitry can also send the application processor a signal property setting corresponding with the change. The application processor can adjust the signal property of a subsequent one of the signals, in response to the signal property setting from the interface circuitry, to obtain an adjusted signal. The application processor can also send the adjusted signal to the media consumption device.

A camera is configured with a disturbance correction engine that identifies and corrects disturbance introduced in image data when a filter is applied to the image data. The disturbance may take the form of overshoot noise, crosstalk noise, and/or low pass band energy. The disturbance correction engine determines an amount of energy deficit in the pass band and compensates for the deficit using the increase in energy in the side band. In operation, the disturbance correction engine processes the filtered image data in the frequency domain to adjust the amplitudes of the image coefficients. The adjusted image coefficients compensate for the deficit of energy in the pass band and also correct the disturbance caused by the overshoot and the crosstalk.

Various techniques are disclosed to suppress distortion in images (e.g., video or still images), such as distortion caused by atmospheric turbulence. For example, similar image blocks from a sequence of images may be identified and tracked along motion trajectories to construct spatiotemporal volumes. The motion trajectories are smoothed to estimate the true positions of the image blocks without random displacements/shifts due to the distortion, and the smoothed trajectories are used to aggregate the image blocks in their new estimated positions to reconstruct the sequence of images with the random displacements/shifts suppressed. Blurring that may remain within each image block of the spatiotemporal volumes may be suppressed by modifying the spatiotemporal volumes in a collaborative fashion. For example, a decorrelating transform may be applied to the spatiotemporal volumes to suppress the blurring in a transform domain, such as by alpha-rooting or other suitable operations on the coefficients of the spectral volumes.

Various techniques are disclosed to suppress distortion in images (e.g., video or still images), such as distortion caused by atmospheric turbulence. For example, similar image blocks from a sequence of images may be identified and tracked along motion trajectories to construct spatiotemporal volumes. The motion trajectories are smoothed to estimate the true positions of the image blocks without random displacements/shifts due to the distortion, and the smoothed trajectories are used to aggregate the image blocks in their new estimated positions to reconstruct the sequence of images with the random displacements/shifts suppressed. Blurring that may remain within each image block of the spatiotemporal volumes may be suppressed by modifying the spatiotemporal volumes in a collaborative fashion. For example, a decorrelating transform may be applied to the spatiotemporal volumes to suppress the blurring in a transform domain, such as by alpha-rooting or other suitable operations on the coefficients of the spectral volumes.

Methods and systems for controlling judder are disclosed. Judder can be introduced locally within a picture, to restore a judder feeling which is normally expected in films. Judder metadata can be generated based on the input frames. The judder metadata includes base frame rate, judder control rate and display parameters, and can be used to control judder for different applications.

In order to solve the problems described above, the present invention employs a PSF restoring means and an image restoring means, implemented in software or hardware, for executing a plurality of iterations of real-number-based computations based on Bayse probability theory by using, as input information, a PSF luminance distribution identified according to a degree of degradation of TV video, a luminance distribution of a degraded image constituted of Y (luminance) components of the TV video, and an estimated luminance distribution of restored-image initial values. With these means, an estimated luminance distribution of a restored image having a maximum likelihood for the luminance distribution of the degraded image is obtained, and the estimated luminance distribution is substituted for the Y components of the TV video obtained by extracting the luminance distribution of the degraded image. Accordingly, TV video that approximates the pre-degradation state is provided substantially in real time.

In order to solve the problems described above, the present invention employs a PSF restoring means and an image restoring means, implemented in software or hardware, for executing a plurality of iterations of real-number-based computations based on Bayse probability theory by using, as input information, a PSF luminance distribution identified according to a degree of degradation of TV video, a luminance distribution of a degraded image constituted of Y (luminance) components of the TV video, and an estimated luminance distribution of restored-image initial values. With these means, an estimated luminance distribution of a restored image having a maximum likelihood for the luminance distribution of the degraded image is obtained, and the estimated luminance distribution is substituted for the Y components of the TV video obtained by extracting the luminance distribution of the degraded image. Accordingly, TV video that approximates the pre-degradation state is provided substantially in real time.

Devices, systems and methods are disclosed for reducing an amount of moiré pattern exhibited by an image having a halftone pattern. Regions of the image including the halftone pattern may be identified and selectively blurred to reduce the amount of moiré pattern visible to a user. The halftone pattern may be detected using digital wavelets to identify high frequency patterns in the image. The halftone pattern may be blurred using a convolution matrix having a weighted average, and a transition band may be used to reduce an intensity of the blur near the edges of the halftone pattern.