Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.

Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.

The invention performs a processing for improving an image quality of a camera in a state where a sufficient link rate cannot be ensured. A controlling method for a camera includes an imaging sensor configured to acquire an imaging data, a signal processing unit configured to perform an image processing on the imaging data, a buffer into which data subjected to the image processing is written, and a format conversion unit configured to convert a format of data read from the buffer and transmit the data to a transmission path, wherein the controlling method includes a status prediction step of predicting a status of the buffer based on a readout rate of the imaging sensor and a link rate of the transmission path and generating a status prediction information, and an adjustment step of adjusting a content of the image processing according to the status prediction information.

For sharpening an input image by up-converting the input image in order to increase the number of pixels of an image and generating a frequency component higher than a frequency component contained in an input image signal representing the input image, the number of multipliers is reduced, thereby achieving significant downsizing of an apparatus and cost reduction. An image processing apparatus includes a path on a base image side for up-converting the input image signal and a path on a sharpening processing side for carrying out nonlinear arithmetic processing on the input image signal. The path on the sharpening processing side includes an up-converter at a subsequent stage of at least one filter, after which the nonlinear arithmetic processing is carried out. The at least one filter may be either a two-dimensional low pass filter for noise removal or a high pass filter for removing a DC component.

For sharpening an input image by up-converting the input image in order to increase the number of pixels of an image and generating a frequency component higher than a frequency component contained in an input image signal representing the input image, the number of multipliers is reduced, thereby achieving significant downsizing of an apparatus and cost reduction. An image processing apparatus includes a path on a base image side for up-converting the input image signal and a path on a sharpening processing side for carrying out nonlinear arithmetic processing on the input image signal. The path on the sharpening processing side includes an up-converter at a subsequent stage of at least one filter, after which the nonlinear arithmetic processing is carried out. The at least one filter may be either a two-dimensional low pass filter for noise removal or a high pass filter for removing a DC component.

An image processing device is constituted by a device for detecting motion of the subject, with the entire effective pixel region as a range; a device for successively setting each of the pixels in the effective pixel region as a pixel of interest; a device for detecting motion of the subject, with a local pixel region that includes the successively set pixel of interest as a range; a device for, for each of the pixels of interest, determining a mixing ratio for the pixel signal of the current imaging period and the pixel signal of one imaging period earlier based on the two detection results; and a device for, for each of the pixels of interest, correcting the pixel signal of the current imaging period based on the determined mixing ratio.

An image processing device is constituted by a device for detecting motion of the subject, with the entire effective pixel region as a range; a device for successively setting each of the pixels in the effective pixel region as a pixel of interest; a device for detecting motion of the subject, with a local pixel region that includes the successively set pixel of interest as a range; a device for, for each of the pixels of interest, determining a mixing ratio for the pixel signal of the current imaging period and the pixel signal of one imaging period earlier based on the two detection results; and a device for, for each of the pixels of interest, correcting the pixel signal of the current imaging period based on the determined mixing ratio.

In an example embodiment a method, apparatus and computer program product are provided. The method includes determining presence of at least one moving object in a scene based on two or more burst images corresponding to the scene captured by a first camera. One or more portions of the scene associated with the at least one moving object are identified, and, information related to the one or more portions is provided to a second camera. An image of the scene captured by the second camera second camera is received, where a pixel level shutter disposed in front of an image sensor of the second camera is programmed to periodically open and close, throughout a duration of said image capture, for pixels of the image sensor corresponding to the one or more portions of the scene. A deblurred image corresponding to the scene is generated based on the image.

Pseudorandom overlapped block processing may be provided. First, a first temporal sequence of video frames corrupted with noise may be received. Next, matched frames may be producing by frame matching video frames of the first temporal sequence according to a first stage of processing. Then the matched frames may be denoised according to a second stage of processing. The second stage of processing may commence responsive to completion of the first stage of processing for all the video frames of the first temporal sequence. The second stage of processing may comprise overlapped block processing. The overlapped block processing may comprise pseudorandom overlapped block processing having no successive pixels both horizontally and vertically that are one-sized in transforms.

An image processing device includes a correction section adapted to perform a correction process of data of low (N−M) bits (N and M are integers fulfilling N>M) of a gray level value represented by input video data in a case in which the data of the low (N−M) bits coincides with a predetermined bit sequence, and a modulation section adapted to set data on which the correction process has been performed as target data with respect to the pixel having the data of the low (N−M) bits coinciding with the predetermined bit sequence, and perform a modulation process of modulating at least a part of data of high M bits of the target data using a bit sequence defined in accordance with the data of the low (N−M) bits in a plurality of unit periods.