Abstract: Implementations generally relate to enhancing a video. In some implementations, a method includes classifying one or more objects in one or more frames of the video. The method further includes determining one or more filter parameters of one or more filters based on the classifying of the one or more objects. The method further includes smoothing one or more of the determined filter parameters based on the classifying of the one or more objects. The method further includes applying one or more of the filters with corresponding smoothed filter parameters to one or more frames of the video.

Abstract: In order to make it possible to reduce the storage capacity required for noise removal processing in, for example, multi-resolution analysis and the like, without affecting signal quality, the present invention is equipped with: a storage device into which a input signal of a first channel is written, the input signal branching off into at least first and second channels; a first frequency transform processing unit which transforms the input signal read out and inputted from the storage device into a frequency-domain to output a first signal; a second frequency transform processing unit which transforms the input signal inputted from the second system into a frequency-domain to output a second signal; a third frequency transform processing unit which transforms the second input signal inputted from the second frequency transform processing unit into a frequency range to output a third and fourth signals in the first and second frequency bands; a first inverse frequency transform processing unit; and a second

Abstract: An image processing apparatus is provided. The image processing apparatus includes an image quality processor and a controller. The image quality processor performs a detail enhancement function on an image frame. The controller calculates blur information and/or gray information of the image frame and controls the image quality processor to perform the detail enhancement function on the image frame based on the calculated information.

Abstract: A computer implemented method defines game pieces for play which can complement a natural human tendency to be attracted by people's faces. The game is based on segmenting an image of a user's face under control of a programmed processor, the user's face being captured by the mobile application or provided to it, and then turned into a plurality of segments. A reconstituted image of a face made up of multiple segments from two or more different users for presentation to each respective user in a user interface. A user can select or be selected for a game, which once started has each user revealing a further part of their image to the other until either the whole image of both are revealed and the game is won and they can further communicate. Alternatively a user loses by having their image segment rejected with no further communication available.

Abstract: A video processing method and an apparatus using the same are disclosed. The method includes steps of performing a brightness-reducing treatment on all pixels in a displayed image; performing a brightness-enhancing treatment on all first pixels in the displayed image; performing a brightness-smoothing treatment on pixels having a brightness value being between a higher smooth-treatment brightness value and a lower smooth-treatment brightness value. The video processing method keeps the brightness value of the pixels from being out of grayscale range.

Abstract: A cross-platform web-based system for water testing capable of measuring, analyzing and maintaining the quality of water using a plurality of different test strip readers each configured to obtain a digital image of a reagent test strip, normalize and analyze color information in the digital image by colorimetric analysis, and to transmit a set of colorimetric values corresponding to said digital image to a cross-platform cloud-based system for analysis. The cloud-based server(s) receive the colorimetric values, calculate analyte parts-per-million (ppm), and return the calculated analyte ppm with consistant results no matter which reader is used.

Abstract: Provided is an image processing apparatus including: a decoding section configured to decode a prediction parameter including a gain and an offset by which each color component of a first layer is multiplied, the prediction parameter being used when an image of a second layer having a larger luminance dynamic range than the first layer is predicted from an image of the first layer, and a prediction section configured to predict the image of the second layer from the image of the first layer using the prediction parameter decoded by the decoding section.

Abstract: An image on which a noise reduction and a dynamic range expansion process have been performed is generated by a sequential synthesis process using continuous-photographed images of different exposure conditions. The continuous-photographed images of different exposure conditions are input, configuration pixels of an input image and an intermediate synthetic image are classified into a noise pixel, an effective pixel, or a saturation pixel, a synthesis processing method of a pixel unit is decided according to a combination of pixel classification results of the corresponding pixels, and the intermediate synthetic image is updated according to the decided method.

Abstract: An image fusion method and an image processing apparatus are provided. A first image is generated based on a first photographing parameter, and a second image is generated based on a second photographing parameter. A first pixel reference value of each of first pixels is calculated by using a self-define mask according to color components and a luminance component of the first pixels on the first image. A second pixel reference value of each of second pixels is calculated by using the self-define mask according to color components and a luminance component of the second pixels on the second image. A synthesizing reference map recording a plurality of synthesizing weights is obtained by comparing the first pixel reference value and the corresponding second pixel reference value. A fusion image is obtained by synthesizing the first image and the second image according to the synthesizing reference map.

Abstract: The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural.

Abstract: Tracking hand or body pose from image data is described, for example, to control a game system, natural user interface or for augmented reality. In various examples a prediction engine takes a single frame of image data and predicts a distribution over a pose of a hand or body depicted in the image data. In examples, a stochastic optimizer has a pool of candidate poses of the hand or body which it iteratively refines, and samples from the predicted distribution are used to replace some candidate poses in the pool. In some examples a best candidate pose from the pool is selected as the current tracked pose and the selection processes uses a 3D model of the hand or body.

Abstract: The present invention relates to a method for performing face recognition in a telecommunication system (1) comprising a central repository (10) in which Face Recognition profiles attached to subscribers signed up for face recognition have been stored. The method comprises steps like: Detecting proximity between a subscriber (5) of the subscribers signed up for face recognition and an entity (6,8) involved with Face Recognition, said subscriber (5) being located within a cell coverage area (7); Migrating a Face Recognition profile attached to said subscriber, from the central repository (10) to a Network node (8) controlling the cell coverage area (7); Generating in the Network node, an extended synthetic gallery for the migrated Face Recognition profile.

Abstract: Techniques are disclosed for removing blemishes from a digital image by detecting pixels containing the blemishes and replacing or blending those pixels with other pixels in the image that have a relatively low probability of containing a blemish. A standard pixel mask includes a user-selected region of the image; an extended mask extends beyond the user-selected region; and a minimal output pixel mask corresponds to the user-selected region. The minimal mask increases the transparency of some regions in the standard mask while maintaining the opacity of the standard mask in the blemish areas. Colors in the extended mask are weighted and clustered, and pixels in the minimal mask are assigned varying shades of transparency as a function of the color frequency. A blemish removal algorithm is applied using the minimal mask, with semi-transparent regions receiving a blend of source and patch pixel colors according to the level of transparency.

Abstract: A method of converting user-selected printed text to a synthesized image sequence is provided. The method includes capturing a first image of printed text and generating a model information associated with the text.

Abstract: The impression given by a background image is determined, wherein the background image represents the background of a location to be decorated with a picture frame into which a print has been inserted. A picture frame image that gives this impression is found. The image representing the print is corrected so as to give an impression closer to the impression that has been determined. The corrected image is combined with the found picture frame image and the resulting composite image is transmitted to a smartphone. When the composite image is checked and deemed suitable by the user, the print of the corrected image is inserted into an actual picture frame specified by the picture frame image and the picture frame with the inserted print is delivered to the user.

Abstract: An image processing apparatus for reducing fluctuations due to a heat haze in an image including a stationary region and a moving object obtains histogram of gradation distribution for each of a target image to be corrected and a frame for correction, and corrects the target image by using the frame for correction while changing a mixing ratio between the target image and the frame for correction depending on similarity between histograms. To adaptively control a size of image blocks for the histograms, the apparatus calculates two indices having different robustness to deformation of an object from image blocks of each of the target image and the frame for correction, and determines suitability of the image block size based on a relationship of the indices. The difference between the histograms and the sum of absolute differences (SAD) between the pixel values can be used as the two indices.

Abstract: Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image.

Abstract: A system that incorporates teachings of the subject disclosure may include, for example, a processor that can detect an event, access location information for a group of mobile communication devices that are each automatically capturing images, and identify a subset of the group of mobile communication devices that are in proximity to the event based on the location information. The processor can provide first image analysis criteria to the subset of the group of mobile communication devices without providing the first image analysis criteria to remaining devices of the group of mobile communication devices where the first image analysis criteria includes first characteristics associated with an object. The processor can receive a first target image that includes the object from a first mobile communication device of the subset of the group of mobile communication devices. Other embodiments are disclosed.

Abstract: A method, system and product for image classification. The method comprising obtaining a set of encoding functions and signature values which corresponds to a set of class images, wherein each pair of an encoding function and a signature value corresponds to a class image of the set of class images, wherein the signature value is a value produced by applying the encoding function on the class image; obtaining an image to be classified to a class associated with a class image of the set of class images; with respect to each class image of the set of class images: determining a transformation from the image to the class image; and applying the encoding function using the transformation on the image to produce a value; and automatically determining a class to which the image is classified based on the values and the signature values.

Abstract: Aspects of the present invention are related to systems and methods for detection and estimation of mosquito noise in an image or in a video sequence. A mosquito-noise estimate, at a pixel location, may be computed based on an image ring parameter, a statistical value of noise estimates in a first region associated with the pixel location, a maximum activity value in a second region associated with the pixel location and a noise estimate at the pixel location.