A pattern for camouflage and a method for making the pattern. The method includes taking photographic images from the perspective of the selected animal or bird. In one embodiment, the photographic image can be taken from above so as to create a finite background within the selected environment. In another embodiment, the pattern is adapted to be seamlessly repeatable across a surface. The method includes placing desired harvested abstracts into the photographic scene to obtain the overall desired effect of the camouflage pattern including color, composition, depth and repeat. The method also includes taking multiple photographs of the same scene from the same exact spot focusing on different parts of the photographic scene to add clarity to certain portions of the images, enhance depth, and reach desired color palate. The method includes adjusting the color of objects, including water within the photographic scene, to reflect true color of objects absent outside conditions.

In an image correction apparatus, an image correction method, a program, and a recording medium, by an imaging apparatus, a video image in which a correction chart is captured is acquired, and the video image in which an object having a sheet shape is continuously acquired at least one of before or after the correction chart is captured. A plurality of correction chart images in which the correction chart is captured and a plurality of object images in which the object is captured are extracted from a plurality of frame images included in the video image. A correction parameter for correcting a representative object image of the plurality of object images is generated based on the plurality of correction chart images, and the representative object image is corrected using the correction parameter.

Provided is a change degree deriving device including a receiving unit that receives an image obtained by capturing a known color body and an object while focusing on the object, the known color body including plural of color samples, each of which has a known color numerical value, and a detection image, and a detecting unit that detects a focus deviation of the color samples in the image, based on the detection image.

Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or colorspace conversions are provided. In various embodiments, one or more fiducial markers in an environment associated with the augmented reality device are updated and optimized in relation to environmental changes utilizing one or more color-space conversion techniques. Other embodiments are described and claimed.

A control apparatus capable of setting a suitable correction parameter while reducing user's troublesome. The control apparatus including a database that holds correction parameters for correcting pickup images to reduce color difference between pickup images of image pickup apparatuses in association with combinations of standard image pickup apparatus information and image pickup conditions of image pickup apparatuses, a memory device that stores instructions, and a processor that executes the instructions to obtain first information showing a standard image pickup apparatus at a present time and second information showing a target image pickup apparatus that picks up an image as a correction target at the present time, obtain the image pickup conditions of the image pickup apparatuses, determine a setting correction parameter that is set to the target image pickup apparatus from the database based on the first information and the image pickup conditions apparatuses, and output the setting correction parameter.

Examples are described for applying different settings for image capture to different portions of image data. For example, an image sensor can capture image data of a scene and can send the image data to an image signal processor (ISP) and a classification engine for processing. The classification engine can determine that a first object image region depicts a first category of object, and a second object image region depicts a second category of object. Different confidence regions of the image data can identify different degrees of confidence in the classifications. The ISP can generate an image by applying a different settings to the different portions of the image data. The different portions of the image data can be identified based on the object image regions and confidence regions.

Display devices capable of adjusting the color gamut and methods of adjusting the color gamut thereof are disclosed. A method includes: obtaining a mapping table that comprises mapping relations between a plurality of application scenarios and a plurality of color gamut modes; obtain a current application scenario and the corresponding color gamut mode of the current application scenario from the mapping table, and adjusting the display screen to the corresponding color gamut mode of the current application scenario. Thus, the present disclosure can base on different application scenarios to automatically apply the corresponding color gamut modes, ensuring the user a plurality of color experiences and improving the experience effect of the users.

An estimated image data calculator is configured to calculate, as estimated image data, for each of image data of respective colors outputted from an imaging element, on the basis of a pixel value of a first pixel on one of two lines adjacent to each other in the image data, and a pixel value of a second pixel on the other of the two lines and adjacent to the first pixel, image data of a non-reading region between a reading region in a document corresponding to the one of the two lines and a reading region in the document corresponding to the other of the two lines. A pixel value correcting unit is configured to correct at least one of the pixel value of the first pixel and the pixel value of the second pixel on the basis of the estimated image data.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to receive an oblique aerial image having at least a first section and a second section, wherein the first section has a first color distribution and the second section has a second color distribution; receive at least two reference images having consistent color distributions; receive geographic information about the at least two reference images and the oblique aerial image; choose at least a one reference image for each of the first and second sections based on the geographic information; and create at least one color-balancing transformation for the first and second sections.

An information handling system executing a multimedia multi-user collaboration application (MMCA) may include a memory; a power management unit; a camera to capture video of a user participating in a video conference session; a processor configured to execute code instructions of a trained intelligent collaboration contextual session management system (ICCSMS) neural network to receive as inputs: the type of AV processing instruction modules enabled descriptive of how to visually transform a video frame during a video conference session executed by a multimedia multi-user collaboration application; and sensor data from a plurality of sensors including an ambient light sensor to detect ambient light around a participant of the video conference session and a color senser to detect color vectors in the video frame; the processor applies AV processing instruction adjustments to the enabled AV processing instruction modules received as output from the trained ICC SMS machine learning module to adjust the lighting and color vectors of the video frame based on the sensor inputs and the type of AV processing instruction modules.