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.

Provided is an image processing apparatus which includes a region detection section configured to detect at least one predetermined region from a captured image on the basis of data attached to the captured image, and an image processing section configured to perform noise reduction processing on an image of the predetermined region detected by the region detection section.

A method for processing images includes: determining an image attribute of each image block of a plurality of image blocks in a to-be-processed image, determining a filter model corresponding to each of the image blocks based on the image attribute of each of the image blocks, and acquiring a filtered image of the to-be-processed image by filtering each of the image blocks by the filter model corresponding to each of the image blocks.

The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

The present disclosure relates to a motion compensation method and module, a chip, an electronic device, and a storage medium, to improve the problem of haloes easily appearing on the edges of moving objects.

An image processing method provided by embodiments of the present disclosure includes acquiring, two adjacent frames of original images from a video image data stream; extracting a feature element that produces smear from the two adjacent frames of the original images; generating a reconstructed image frame that does not comprise the feature element by using the two adjacent frames of the original images and the feature element; and inserting the reconstructed image frame between the two adjacent frames of the original images.

An image processing method and device is provided. The method includes: performing brightness adjustment on each frame of image in a video; performing offset compensation on each frame of image after the brightness adjustment; and performing time domain filtering on each frame of image after the offset compensation.

Video systems with video receivers for receiving video signals transmitted in analog format over a video link are described. An example video receiver includes an interferer identification circuit and an interferer removal circuit. The interferer identification circuit is configured to identify a periodic interference signal (e.g., from one or more of vertical blanking intervals (VBIs)) of a received video signal. The interferer removal circuit is configured to generate a filtered video signal, where generation of the filtered video signal includes, for each line of a given frame of the received video signal, generating an adjusted interference signal by adjusting a phase of the identified interference signal to match a phase of a periodic noise signal in at least a portion of a horizontal blanking interval (HBI) associated with the line, and subtracting the adjusted interference signal from a plurality of active pixel values of the line.

A method of creating an image representative of a measured dataset by iteratively updating a base image includes: generating a principal dataset from the measured dataset, the principal dataset having noise at substantially the same level as the measured dataset; generating an additional dataset from the measured dataset such that the additional dataset has noise at substantially the same level as the measured dataset and is not identical to the principal dataset; processing the base image without noise compensation using the principal dataset and additional dataset to obtain a principal interim image and an additional interim image; comparing the principal and the additional interim image to determine an indication of a noise level present; and using the determined indication of noise present to select noise compensation to apply when processing the base image using the measured dataset to create a new base image representative of the measured dataset.

A method of creating an image representative of a measured dataset by iteratively updating a base image includes: generating a principal dataset from the measured dataset, the principal dataset having noise at substantially the same level as the measured dataset; generating an additional dataset from the measured dataset such that the additional dataset has noise at substantially the same level as the measured dataset and is not identical to the principal dataset; processing the base image without noise compensation using the principal dataset and additional dataset to obtain a principal interim image and an additional interim image; comparing the principal and the additional interim image to determine an indication of a noise level present; and using the determined indication of noise present to select noise compensation to apply when processing the base image using the measured dataset to create a new base image representative of the measured dataset.