A method for preparing a deacidifying and reinforcing agent for a cellulose acetate film includes steps of: ultrasonically dispersing a nanometer alkaline oxide into an ethyl cellulose n-butanol solution, so as to form a nanometer alkaline oxide suspension, then adding a mixture of E51 EPOXY RESIN and a curing agent thereof; wherein the nanometer alkaline oxide is a nanometer magnesium oxide, a nanometer cerium oxide, a nanometer magnesium hydroxide, a nanometer potassium carbonate, a nanometer calcium hydroxide or a nanometer barium hydroxide. A method for using the deacidifying and reinforcing agent includes steps of: evenly applying the deacidifying and reinforcing agent on a surface of a cellulose acetate film.

A method for processing a video stream prior to encoding, the video stream potentially comprising a film grain, the method comprising: measuring a film grain intensity in the video stream; obtaining at least one encoding rate information item associated with the video stream, in order to determine a pair of respective values for the grain intensity and encoding rate; comparing the pair values with predetermined respective threshold values in order to categorize the video stream with respect to pairs of predetermined values of grain intensity and rate; and selecting a film grain management strategy among at least four combinations based on the categorization of the video stream.

Provided are a method and a device that can efficiently generate a training dataset. Object information is associated with a visual marker, a training dataset generation jig that is configured from a base part and a marker is used, said base part being provided with an area that serves as a guide for positioning a target object and said marker being fixed on the base part, the target object is positioned using the area as a guide and in this condition an image group of the entire object including the marker is acquired, the object information that was associated with the visual marker is acquired from the acquired image group, a reconfigured image group is generated from this image group by performing a concealment process on a region corresponding to the visual marker or the training dataset generation jig, a bounding box is set in the reconfigured image group on the basis of the acquired object information, information relating to the bounding box, the object information, and estimated target object position information and posture information are associated with a captured image, and a training dataset for performing object recognition and position/posture estimation for the target object is generated.

This disclosure provides an image processing apparatus comprising a first setting unit which sets a first parameter for processing for removing an influence of a fine particle component based on image data; a first image processing unit which performs fine particle removal processing based on the first parameter; a second setting unit which sets a second parameter; a second image processing unit which performs fine particle removal processing based on the second parameter; a setting unit which sets a region for which the first image processing unit is to be used and a region tor which the second image processing unit is to be used and a generation unit which generates image data by applying a result from the first image processing unit and a result from the second image processing unit to the respective set regions.

A system and method for providing a weather effect in an image includes selecting at least one weather texture image indicating weather, and providing a weather effect in the image by overlapping the selected weather texture image on the image.

An image processing apparatus includes a deterioration degree estimation unit, a statistical information calculation unit, a correction coefficient calculation unit, and a contrast correction unit. The deterioration degree estimation unit estimates a deterioration degree of each local region of image data. The statistical information calculation unit calculates at least a luminance of a high luminance portion in a luminance distribution of the image data from statistical information of each local region of the image data. The correction coefficient calculation unit calculates a correction coefficient to perform contrast correction. The contrast correction unit performs the contrast correction for each local region of the image data on the basis of the correction coefficient calculated by the correction coefficient calculation unit.

Systems and methods are provided for adding digital film grain to images and videos displayed by a display of an electronic device. An image processing circuitry of the electronic device may include hardware, such as display pipeline hardware, memory-to-memory scaler and rotator (MSR) hardware, and/or other possible hardware, that enables generation of film grain templates based on characteristics of a target film grain, pseudo-randomly samples the programmable template to fetch film grain values, scales the film grain values, and combines the scaled film grain values with values of pixels in an image frame.

A method of method of processing an image of a video sequence including a plurality of images, wherein the video sequence is divided into a sequence of consecutive subsets each including one or more consecutive images of the video sequence is provides, which includes: determining, among the consecutive subsets, a current subset that includes the image, upon determining that the image is a first image of the current subset to be processed, determining an analysis window corresponding to the current subset, wherein the analysis window includes a plurality of consecutive images of the video sequence, and includes at least one image of the current subset, and generating processing results for the image by performing a processing on the images of the analysis window.

A method for preparing a deacidifying and reinforcing agent for a cellulose acetate film includes steps of: ultrasonically dispersing a nanometer alkaline oxide into an ethyl cellulose n-butanol solution, so as to form a nanometer alkaline oxide suspension, then adding a mixture of E51 epoxy resin and a curing agent thereof; wherein the nanometer alkaline oxide is a nanometer magnesium oxide, a nanometer cerium oxide, a nanometer magnesium hydroxide, a nanometer potassium carbonate, a nanometer calcium hydroxide or a nanometer barium hydroxide. A method for using the deacidifying and reinforcing agent includes steps of: evenly applying the deacidifying and reinforcing agent on a surface of a cellulose acetate film.

A method of processing an image of a video sequence including a plurality of images, in which the video sequence is divided into a sequence of consecutive subsets each including one or more consecutive images of the video sequence, includes determining, among the consecutive subsets, a current subset that includes the image, upon determining that the image is a first image of the current subset to be processed, determining an analysis window corresponding to the current subset, the analysis window including a plurality of consecutive images of the video sequence, and including at least one image of the current subset, and generating processing results for the image by performing a processing on the images of the analysis window.