The present application discloses a shadow detection method and system for monitoring video images, and a shadow removal method. The shadow detection method includes: acquiring a current frame and a background frame from source data; acquiring, from the current frame, first candidate shadow areas; computing a local-ternary-pattern shadow detection value of the first candidate shadow areas, and selecting second candidate shadow areas; computing a hue detection value, a saturation detection value and a gradient detection value of the second candidate shadow areas; estimating a local-ternary-pattern shadow threshold, a hue threshold, a saturation threshold and a gradient threshold; computing a local-ternary-pattern shadow detection value, a hue detection value, a saturation detection value and a gradient detection value of the first candidate shadow areas; and selecting first candidate shadow areas.

An information processing apparatus includes a first obtaining unit configured to obtain image data representing an image, a second obtaining unit configured to obtain distance information corresponding to the image data, and a first determination unit configured to determine, based on accuracy of the distance information, a candidate for a lighting effect applicable to the image in applying a lighting effect based on the distance information to the image.

An image quality adjustment device includes: a lighting controller that controls a display panel including a plurality of pixels, each including arrangement of a plurality of subpixels such that the display panel displays a measurement image in which a part of the plurality of subpixels is lit; and a first electric filter that removes at least a spatial frequency component greater than or equal to fd/2 from a first image obtained by capturing the measurement image displayed on the display panel using an capture device when a panel spatial frequency determined by a pixel pitch of the pixel in a direction in which the plurality of subpixels are arrayed is set to fd.

Image signal processing includes generating an exposure compensated image based on a gain value applied to an exposure level of a first image and a gain value applied to an exposure level of a second image. The gain value may be progressively increased from an approximate center of the first image to an edge of the first image to a common exposure level. The gain value may be progressively decreased from an approximate center of the second image to an edge of the second image to the common exposure level. Gain values may be scaled on each color channel for a pixel based on a saturation level of the pixel.

Provided are a fiber bundle image processing method (200) and an apparatus. The method (200) includes: determining pixel information corresponding to a center position of a fiber in a sample image; correcting the determined pixel information; and reconstructing the sample image based on the corrected pixel information to obtain a reconstructed image. The method (200) and apparatus can not only obtain a more ideal fiber-bundle processed image, but also have a smaller calculation amount, and the entire calculation process takes less time.

While a user holds a camera positioned relative to an object, a first image of the object and a second image of the object, as captured by the camera, may be obtained. Intensity variations between a first intensity map of the first image and a combination intensity map obtained from the first intensity map and a second intensity map of the second image may be compared. Then, a shadow may be identified within the first image, based on the intensity variations.

A method for recording an image. The method includes: detecting an area using a sensor and generating a map of the area having a predefined number of pixels, which indicate brightness values, and subdividing the map into blocks) having a predefined first size, creating an auxiliary map by scaling down the blocks to a predefined second size, which is smaller than the predefined first size, sorting the pixels of each block of the auxiliary map according to their brightness values, determining processing parameters for each block on the basis of the sorted pixels, with which the pixels of the associated block are processed in order to achieve a brightness maximization and/or a contrast maximization, interpolating a processing function from the processing parameters, and applying the processing function to the pixels of the map to generate the image.

Embodiments relate to two stage multi-scale processing of an image. A first stage processing circuitry generates an unscaled single color version of the image that undergoes noise reduction before generating a high frequency component of the unscaled single color version. A scaler generates a first downscaled version of the image comprising a plurality of color components. A second stage processing circuitry generates a plurality of sequentially downscaled images based on the first downscaled version. The second stage processing circuitry processes the first downscaled version and the downscaled images to generate a processed version of the first downscaled version. The unscaled single color high frequency component and the processed version of the first downscaled version of the image are merged to generate a processed version of the image.

A lower dynamic range visual content (21) of a virtual reality or VR scene represented in a curved shape form is adapted to a higher dynamic range display of the virtual reality scene. At least two views planar key views (230) of the VR scene area obtained, at least two parameter values (240) respectively associated with those planar key views are obtained, corresponding to at least one parameter adapted to expand a dynamic range of a visual content, and a higher dynamic range visual content (22) corresponding to the lower dynamic range visual content in at least part of the VR scene extending beyond the planar key views is determined, based on the parameter values. Applications to Inverse Tone Mapping.

A method is provided for establishing an overlay image to be displayed from medical image datasets of a recording region of a patient registered with one another containing at least two items of different image information. The method includes establishing, for at least a part of the overlay image, an image value of the overlay image at an image position by addition or subtraction of an image value of at least one base image dataset of the medical image datasets at the image position and a modified image value of at least one modification image dataset of the medical image datasets at the image position dependent on the image value of the base image dataset at the image position.