In a method and computer for visualizing a medical image data set, in particular a magnetic resonance image data set, the medical imaging data set is provided to the computer which determines a first subset of the medical image data set related to a first parameter and a second subset of the medical image data set related to a second parameter. A first color is assigned to the first subset and a second color is assigned to the second subset. The first subset is transferred to a display in a first color presentation using the first color and the second subset is transferred in a second color presentation using the second color. The first color presentation and the second color presentation are combined for visualizing the medical imaging data set.

Provided is a color camera that captures using environmental light, a monochrome camera that captures using infrared light, a signal processing unit that processes a signal of a color image output from the color camera and a signal of a monochrome image output from the monochrome camera, a storage unit that stores alignment information generated from a color image and a monochrome image captured in a state of sufficient environmental light, an alignment unit that performs an alignment based on alignment information to match positions of a subject shown in a color image and a monochrome image captured in a state of insufficient environmental light, and an image synthesis unit that acquires color information from the aligned color image and performs color conversion to colorize the monochrome image using the color information.

In an image data conversion device, color image data is represented in gray scale, a histogram of brightness values is created for the gray-scaled image data, it is determined based on the created histogram which image pattern of a plurality of image patterns the gray-scaled image data is classified into, a range subjected to gamma correction and a range fixed to at least one of a minimum value and a maximum value of gray scale are set for each image pattern, and image data conversion including the gamma correction is performed on the gray-scaled image data.

In an image data conversion device, color image data is represented in gray scale, a histogram of brightness values is created for the gray-scaled image data, it is determined based on the created histogram which image pattern of a plurality of image patterns the gray-scaled image data is classified into, a range subjected to gamma correction and a range fixed to at least one of a minimum value and a maximum value of gray scale are set for each image pattern, and image data conversion including the gamma correction is performed on the gray-scaled image data.

A digital encoding and decoding method of high bit-depth gray scale medical images allows standard 3-channel color image compression algorithms to be used to compress and de-compress such encoded high bit-depth gray scale images without significant image quality loss. The digital encoding and decoding method may be used to improve the network transmission, storage and rendering of such gray scale images in a standard web browser.

An image processing method includes determining whether image data acquired by reading a document with a reading unit is color or monochrome, saving color image data determined to be color and monochrome image data generated by monochrome conversion of the color image data, in association with each other as a learning sample, deciding a color conversion parameter to be used when image data read by the reading unit and determined to be monochrome image data is converted into a color image, using the saved learning sample, and converting the image data read by the reading unit and determined to be the monochrome image data into color image data, using the decided color conversion parameter.

In an image data conversion device, color image data is represented in gray scale, a histogram of brightness values is created for the gray-scaled image data, it is determined based on the created histogram which image pattern of a plurality of image patterns the gray-scaled image data is classified into, a range subjected to gamma correction and a range fixed to at least one of a minimum value and a maximum value of gray scale are set for each image pattern, and image data conversion including the gamma correction is performed on the gray-scaled image data.

An image processing device includes an image acquiring unit, a color aid information acquiring unit, and a restoring unit. The image acquiring unit acquires, as a processing target image, an image with modified color information or an image with color information degraded from an original image. The color aid information acquiring unit acquires color aid information to be referred to at the time of restoring the color information of the processing target image. The restoring unit restores the color information of the processing target image on the basis of the color aid information.

Systems and methods for allocating display colors to thermal image intensity data acquired by thermal band photodetectors are described. The intensity data from the photodetectors, which corresponds to the scene temperature, is usually converted to a digital value falling within the range of the analog to digital conversion (ADC). The full ADC range may be divided into two or more sub-ranges. In at least one sub-range intensity values within that sub-range may be assigned display colors from a first color table utilizing one or more Histogram Equalization (HE) techniques. In at least one other sub-range, specific display values from a color table different from the first may be assigned to specific intensity values. In some embodiments, the HE assigned sub-range may be lower in intensity than the specific assigned sub-range. For a thermal imaging system including thermography, the sub-ranges may correspond to scene temperature ranges, where lower temperatures are assigned colors using HE and higher temperatures are assigned specific colors corresponding to specific temperatures. Such an arrangement is particularly applicable to thermal imaging use by firefighters because the arrangement allows them to determine temperature directly from displayed color for potentially dangerous temperatures. In some cases the sub-range may be applied to certain pixels within desired temperature ranges, and those chosen pixels may be assigned to all or part of a second color table, and in some cases the second color table may be applied to the sub-range pixels by histogram equalization. This arrangement is applicable to highlighting temperatures corresponding to objects, such as humans or animals to make these objects high contrast for search applications.

Provided is a color camera that captures using environmental light, a monochrome camera that captures using infrared light, a signal processing unit that processes a signal of a color image output from the color camera and a signal of a monochrome image output from the monochrome camera, a storage unit that stores alignment information generated from a color image and a monochrome image captured in a state of sufficient environmental light, an alignment unit that performs an alignment based on alignment information to match positions of a subject shown in a color image and a monochrome image captured in a state of insufficient environmental light, and an image synthesis unit that acquires color information from the aligned color image and performs color conversion to colorize the monochrome image using the color information