In a display controller, a standard information acquisition unit 76-acquires at least one of a luminance characteristic and a color gamut of a standard display panel. A luminance information storage unit of an output adjustment unit stores a measurement value of a luminance characteristic of a panel of a displaying destination. A luminance range adjustment unit gradually adjusts a luminance range for an image to be a luminance range same as that of the standard display panel. A color gamut information storage unit stores a measurement value of a color gamut of the panel of the displaying destination. A color adjustment unit adjusts a pixel value of an image on the basis of the color gamut such that the image is displayed in a color same as that on the standard display panel.

An image processing unit of a processor for an endoscope includes: an emphasis processing calculation unit performing nonlinear gradation conversion for a pixel value of a pixel of interest, using each pixel of a captured image as the pixel of interest; and a preprocessing unit setting a reference upper limit characteristic line and a reference lower limit characteristic line in order to adjust an output pixel value after the nonlinear gradation conversion and calculating a degree of variation in pixel values in a partial setting region around the pixel of interest. The emphasis processing calculation unit calculates an output ratio of the output pixel value to a maximum pixel value that can be taken by the captured image, an adjustment upper limit value and an adjustment lower limit value, and an emphasis-processed pixel value, using the adjustment upper limit value, the adjustment lower limit value, and the output ratio.

An image processing unit of a processor for an endoscope includes: an emphasis processing calculation unit performing nonlinear gradation conversion for a pixel value of a pixel of interest, using each pixel of a captured image as the pixel of interest; and a preprocessing unit setting a reference upper limit characteristic line and a reference lower limit characteristic line in order to adjust an output pixel value after the nonlinear gradation conversion and calculating a degree of variation in pixel values in a partial setting region around the pixel of interest. The emphasis processing calculation unit calculates an output ratio of the output pixel value to a maximum pixel value that can be taken by the captured image, an adjustment upper limit value and an adjustment lower limit value, and an emphasis-processed pixel value, using the adjustment upper limit value, the adjustment lower limit value, and the output ratio.

A method for tracking moving particles in a fluid. The method includes illuminating the moving particles with an illumination sequence of patterns generated by a light projector; measuring with a single camera light intensities reflected by the moving particles; calculating, based on the measured light intensity, digital coordinates (x′, y′, z′) of the moving particles; determining a mapping function f that maps the digital coordinates (x′, y′, z′) of the moving particles to physical coordinates (x, y, z) of the moving particles; and calculating the physical coordinates (x, y, z) of the moving particles based on the mapping function f. The illumination sequence of patterns is generated with a single wavelength, and light emitted by the projector is perpendicular to light received by the single camera.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

Both a conventional receiver and an HDR-compatible receiver well perform electro-optical conversion processing on transmission video data obtained by using an HDR opto-electronic transfer characteristic. High dynamic range opto-electronic conversion is performed on high dynamic range video data to obtain the transmission video data. Encoding processing is performed on this transmission video data to obtain a video stream. A container of a predetermined format including this video stream is transmitted. Metadata information indicating a standard dynamic range opto-electronic transfer characteristic is inserted into a layer of the video stream, and metadata information indicating a high dynamic range opto-electronic transfer characteristic is inserted into at least one of the layer of the video stream and a layer of the container.

Both a conventional receiver and an HDR-compatible receiver well perform electro-optical conversion processing on transmission video data obtained by using an HDR opto-electronic transfer characteristic. High dynamic range opto-electronic conversion is performed on high dynamic range video data to obtain the transmission video data. Encoding processing is performed on this transmission video data to obtain a video stream. A container of a predetermined format including this video stream is transmitted. Metadata information indicating a standard dynamic range opto-electronic transfer characteristic is inserted into a layer of the video stream, and metadata information indicating a high dynamic range opto-electronic transfer characteristic is inserted into at least one of the layer of the video stream and a layer of the container.

Disclosed is an image data encoding/decoding method and apparatus. A method for decoding a 360-degree image comprises the steps of: receiving a bitstream obtained by encoding a 360-degree image; generating a prediction image by making reference to syntax information obtained from the received bitstream; combining the generated prediction image with a residual image obtained by dequantizing and inverse-transforming the bitstream, so as to obtain a decoded image; and reconstructing the decoded image into a 360-degree image according to a projection format.

A computer-implemented method includes performing analysis to determine information associated with a high dynamic range (HDR) media content item. A standard dynamic range (SDR) version of the HDR media content item is derived using HDR metadata. The derivation including encoding the HDR media content item to SDR content and normalizing data of the SDR content. The HDR metadata and the SDR version of the HDR media content item are transmitted with embedding of the HDR metadata within a protocol with the SDR version to a storage service. The HDR metadata and the SDR version are caused to be received at a display device. The SDR version is converted to HDR per incremental portion with a dynamic range bounded based on the HDR metadata of the protocol.