An image processing method of converting spectral image data of a plurality of spectral wavelengths imaged by a spectral camera into a color image by using a processor, wherein the processor acquires a plurality of pieces of the spectral image data from a storage unit, calculates a correction value by multiplying a optical spectrum of each pixel of a corresponding one of the plurality of spectral image data by a correction constant set for each wavelength, calculates a color conversion value by summing the correction values of the same pixel positions, and generates a color composite image based on the color conversion value. Then, the correction constant is set such that a sum spectrum obtained by summing characteristic spectra obtained by multiplying a sensitivity characteristic with respect to each spectral wavelength of the spectral camera by the correction constant corresponding to each wavelength matches a target spectrum of any color filter.

Systems and methods for efficient lossless compression of captured raw image information are presented. A method can comprise: receiving raw image data from an image capture device, segregating the pixel data into a base layer portion and an enhanced layer portion, reconfiguring the base layer portion expressed in the first color space values from a raw capture format into a pseudo second color space compression mechanism compatible format, and compressing the reconfigured base layer portion of first color space values. The raw image data can include pixel data are expressed in first color space values. The segregation can be based upon various factors, including a compression benefits analysis of a boundary location between the base layer portion and enhanced layer portion. The reconfiguring the base layer portion can include separating the base layer portion based upon multiple components within the raw data; and forming base layer video frames from the multiple components.

An image processing apparatus comprises: first and generation units that generate color signal components for luminance and color signal components for color difference, respectively, in a first color space from an input image signal; an integration unit that integrates the color signal components for luminance and color difference to generate color signal components common for luminance and color difference; a processing unit that performs nonlinear processing on the color signal components common for luminance and color difference; a separation unit that generates luminance and color difference signals in a second color space from the signal that has undergone the nonlinear processing; and a band limiting unit that performs band limitation processing on the color difference signals. A characteristic of the band limitation processing is set on the basis of frequency characteristics of the luminance color difference signals.

An apparatus has first and second generation units which generate, from input image data, color component data for luminance output and color component for color difference output, first and second convertors which converts tones of each piece of the color component data for luminance output and for color difference output, a combining unit combining each piece of the color component data obtained by the first and second convertors to generate respective pieces of combined color component data; a separation unit respectively separating luminance data and color difference data from the combined color component data; and a correction unit correcting a tone of each of the luminance data and color difference data. The second convertor has a characteristic for outputting a non-negative value in a range, of negative infinity to a positive threshold set in advance.

A digital imaging and analysis system and method. The digital cameras and logger is encased by a weatherproof housing for easy deployment and maintenance of the camera and logger and protection from harsh conditions. The digital camera is associated with a memory to which imagery acquired by the digital camera is saved. The digital camera and logger can be customized and pre-programmed and the imagery subject to custom visualization. Sensors are electronically associated with the digital camera and are triggered to permit the digital camera to acquire the imagery and image the same image footprint in RGB, HSV, l*a*b* color spaces. Selectable regions of interest with respect to the imagery are saved in the memory.

Video processing techniques and pipelines that support capture, distribution, and display of high dynamic range (HDR) image data to both HDR-enabled display devices and display devices that do not support HDR imaging. A sensor pipeline may generate standard dynamic range (SDR) data from HDR data captured by a sensor using tone mapping, for example local tone mapping. Information used to generate the SDR data may be provided to a display pipeline as metadata with the generated SDR data. If a target display does not support HDR imaging, the SDR data may be directly rendered by the display pipeline. If the target display does support HDR imaging, then an inverse mapping technique may be applied to the SDR data according to the metadata to render HDR data for display. Information used in performing color gamut mapping may also be provided in the metadata and used to recover clipped colors for display.

A mechanism is described for facilitating gamut mapping architecture and processing for color reproduction in image processing environments, according to one embodiment. A method of embodiments, as described herein, includes one or more processors to: compute one or more of gamut boundary descriptors and mapping configurations associated with a colored image captured using one or more cameras; and perform gamut mapping of color representation of the image based on the one or more of the gamut boundary descriptors and the mapping configurations, wherein the gamut mapping to facilitate color reproduction of the image

Matching color information in an optical system can include splitting an image forming beam into a bright intensity beam and a dark intensity beam, detecting, using multiple sensors, a color value for a light component from the bright intensity beam and the dark intensity beam, determining color values for the remaining light components associated with the bright intensity beam and the dark intensity beam, and transforming the color values associated with the dark intensity beam to calibrate the color values of the dark intensity beam against the color values of the light intensity beam, the color values of the light intensity beam including color inaccuracies.

Tone mapping is performed by digital image processing circuitry on a macro-pixel basis. A luminance value of a macro-pixel of a digital image in a color space is determined. The macro-pixel includes a plurality of individual pixels. Respective tone-mapping gain values of each pixel of the macro-pixel are determined based on the determined luminance value of the macro-pixel. The determined tone-mapping gains are applied to the respective pixels of the macro-pixel. The color space may be a CFA color space, such as a Bayer color space.

According to one aspect of an exemplary embodiment of the disclosure, a system and method for adaptively altering the presentation color for an overlay to be presented along with a camera image on a display of a radiography system includes the steps of providing an imaging system having a radiation source, a detector, and a camera aligned with the detector. A control processing unit including image processing circuitry is operably connected to the camera to generate a camera image(s) of the subject and the detector. The camera image analyzed by the image processing circuitry to determine the region of interest (ROI) within the camera image and the dominant color(s) present in the ROI, such that presentation color for the overlay can be automatically adjusted to a complementary color for monochromatic camera images or to a high contrast color for chromatic camera images to increase the visibility of the overlay.