Disclosed is an image processing method, electronic device and storage medium. The method includes obtaining feature information of first region in a current image frame, wherein first region includes a region that is determined by performing motion estimation on the current and previous image frames based on optical flow; obtaining feature information of second region in the current image frame, wherein second region includes a region corresponding to pixel points among first pixel points of the current image frame, where its association with pixel points among second pixel points of the previous image frame satisfies a condition; and based on the feature information of first region and that of second region, fusing the previous and current image frames to obtain a processed current image frame, which is used as a previous image frame for a next image frame.

Embodiments described herein provide a system for analyzing a gameplay of a first video game. During operation, the system can obtain a stream of video frames associated with the gameplay. The system can then analyze the video frames to identify a set of features of the first video game. Here, a respective feature indicates the characteristics of a virtual object in a virtual environment of the first video game supported by a first game engine. Subsequently, the system can derive, based on the set of identified features, a set of parameters indicating one or more physical characteristics of one or more virtual objects in the virtual environment. The system can store the set of derived parameters in a file format readable by a second game engine different from the first game engine. This allows the second game engine to support a second video game that incorporates the physical characteristics.

In a target image generated by multi-resolution processing, a pixel of interest and a group of reference pixels are designated. In a corresponding image belonging to a level that is one level above, pixel value patterns are compared between a corresponding region of interest and corresponding reference regions so as to calculate weights. A modified pixel-of-interest value is determined by means of multiplying the reference pixel values by the weights.

A multi-scale image processing algorithm for enhancing contrast in an electronic representation of an image represented by a) decomposing said digital image into a set of detail images at multiple resolution levels and a residual image at a resolution level lower than said multiple resolution levels, b) processing at least one pixel of said detail images, c) computing a processed image by applying a reconstruction algorithm to the residual image and the processed detail images, said reconstruction algorithm being such that if it were applied to the residual image and the detail images without processing, then said digital image or a close approximation thereof would be obtained. The processing comprises the steps of: d) calculating for said pixel, at least one statistical measure for two or more translation difference image pixel values within a neighbourhood of said pixel; and e) modifying the value of said pixel of said detail images as a function of said statistical measure and said value of said pixel of said detail images.

Embodiments of the present application provide a method for denoising videos. The method comprises: acquiring, by the CPU, video frame images by acquiring video data and decoding the video data; loading, by the GPU, the video frame images from the CPU; acquiring, by the GPU, first images by denoising the video frame images using a predetermined non-local means (NLM) denoising algorithm; acquiring, by the GPU, second images by denoising the first images using a predetermined non-local Bayes (NLB) denoising algorithm; and acquiring, by the CPU, denoised video data by acquiring the second images from the GPU and encoding the second images.

To provide an image processing apparatus, an image processing method, and an endoscope system by which deep tissues and superficial blood vessels enhanced with improved visibility can be displayed to a surgeon in real time. An image processing apparatus according to an embodiment of the present technology includes an enhancement processing unit that performs enhancement processing on low-frequency components that are a range lower than a predetermined spatial frequency in an input image, performs enhancement processing on high-frequency components that are a range higher than the low-frequency components in the input image, and outputs the input image having the low-frequency components and the high-frequency components each subjected to enhancement processing.

The image processing method according to the present application includes: acquiring a medical image captured by an imaging apparatus; and determining an intensity of a filter to be applied to the medical image according to a degree of focusing of the medical image.

A server includes a memory storing instructions and a processor configured to execute the instructions to obtain an inside-fridge image captured in a refrigerator by comparing a pre-stored image to the obtained inside-fridge image, identify whether a change area in which a change occurred in the obtained inside-fridge image is present in the obtained inside-fridge image, based on the change area being not present in the obtained inside-fridge image, obtain first food storage information, using a first result of recognizing the pre-stored image, based on the change area being present in the obtained inside-fridge image, obtain second food storage information, using the obtained first food storage information and a second result of recognizing an object included in the obtained inside-fridge image, and transmit, to the refrigerator, the obtained inside-fridge image and either one or both of the obtained first food storage information and the obtained second food storage information.

The present invention provides a method for correcting an anomalous pixel and an apparatus. The method for correcting the anomalous pixel comprises: calculating a matching index of pixels in a first point cloud map and a second point cloud map; finding out an anomalous pixel based on the matching index of the pixels and a correction threshold; and calculating a correction column difference, and correcting the anomalous pixel based on the correction column difference and the matching index of the pixels. The anomalous pixel in the point cloud map is retained and corrected, thus the pixel integrity of an image is guaranteed; and a mode for correcting the anomalous pixel is simple, requires fewer calculating steps, and exhibits high anomalous pixel correction efficiency. The apparatus provided by the present invention comprises a first camera, a second camera, an image processing unit, an indexing unit, a calculating unit, a judging unit, and a correction execution unit, and is used for improving the efficiency of correcting an anomalous pixel in an image.

A system and method of multiview style transfer apply a style transfer to individual views of a multiview image in a way that produces consistent results across all images. In some embodiments, the multiview style transfer includes receiving first and second images representative of first and second perspectives of a scene and first and second disparity maps corresponding to the first and second images, generating a first stylized image, generating a stylized shifted image based on the first stylized image and the first disparity map, generating a second stylized image based on a guided filter of the stylized shifted image and the second image, and generating a first and second stylized image based on the stylized shifted images and the disparity maps.