A prediction algorithm determines synthetic fluorescence images on the basis of measurement images. A validation of the synthetic fluorescence images can be effected on the basis of reference images which are captured after the measurement images or are captured for a separate sample. Alternatively or additionally, a training of the prediction algorithm can be effected on the basis of training images which are captured after the measurement images or are captured for a separate sample.

An image processing device 100 includes a calculation unit 110 for calculating a solar radiation spectrum in a given area on the ground surface on the basis of an observed image of the area, a solar radiation spectrum component of the area, and the spectrum of a pure substance estimated in the area, and a conversion unit 120 for converting the observed image on the basis of the calculated solar radiation spectrum.

An image processing apparatus includes a hardware processor configured to: acquire a plurality of pieces of image information including image-capturing regions overlapping partially; to set first and second correction values with a predetermined value, the first correction value being used for correction of luminance of a first region of interest included in a first overlap region in which a first image-capturing region overlaps an adjacent second image-capturing region, the second correction value being used for correction of luminance of a second region of interest included in a second overlap region in which the first image-capturing region overlaps an adjacent third image-capturing region; and to set with the first and second correction values an individual correction value used for correction of luminance of a region between the first region of interest and the second region of interest in the first image-capturing region.

Provided are an image processing method and device, a mobile terminal, and a storage medium. The method includes: acquiring a first image output by an image sensor; responsive to that a first signal value of the first image after being processed exceeds a saturation value of a first bit width at a preset image processing stage, recording the first signal value of the processed first image as a second signal value with a second bit width, the second bit width being greater than the first bit width; and mapping the second signal value recorded with the second bit width to a third signal value recorded with the first bit width to obtain a second image. Through the method, an operation of increasing a bit width can be used to retain more information of an image and improve the quality of the image, and an implementation is simple and effective.

An image processing apparatus comprises a processing unit configured to provide an image containing a first object and a second object, with a lighting effect from a virtual light source, a setting unit configured to set a parameter of the virtual light source; and a designating unit configured to designate the first object and/or the second object, based on a user's operation, wherein, in a case in which the designating unit has designated at least one of the first object and the second object, the first object and the second object are provided with an effect of virtual light from a same direction, and in a case in which the designating means has not designated any object, the first object and the second object are provided with an effect of virtual light from different directions.

An image adjustment device includes: an illumination component derivation unit that derives an illumination component of a grayscale image; a reflectance component derivation unit that derives a reflectance component image that is a resulting image in which the illumination component is removed from the grayscale image; a contrast component derivation unit that derives a contrast component based on a contrast value between a pixel of the reflectance component image and a peripheral area of the pixel; a histogram derivation unit that derives a luminance histogram of the grayscale image weighted according to the contrast value for each pixel of the contrast component; a conversion function derivation unit that derives a luminance conversion function for converting a luminance such that a luminance histogram of a converted grayscale image in which the grayscale image is converted by the luminance conversion function and a predetermined histogram are matched with or similar to each other; and a luminance conversion unit that generates the converted grayscale image.

A method includes: obtaining a plurality of view images; identifying a representative value from among difference values between values of a plurality of sub-pixels corresponding to a first position in the plurality of view images and an intermediate value of a bit range of a display; determining filtering strength corresponding to the representative value, based on a correspondence map indicating a correspondence relationship between filtering strength and a difference value between a value of a sub-pixel and the intermediate value; and applying a filter having the determined filtering strength to the plurality of sub-pixels corresponding to the first position, wherein a value resulting from applying the filter having the determined filtering strength to the plurality of sub-pixels corresponding to the first position is included in a range of sub-pixel values according to the bit range of the display.

Devices, methods, and non-transitory program storage devices are disclosed to provide for the application of color treatments and/or color normalization operations to digital assets (DAs) in a set of DAs that are to be displayed as part of a multimedia presentation. The determination of the color treatment may be based on comparing one or more characteristics of an audio media item associated with the set of DAs to a corresponding one or more characteristics of a plurality of predetermined color treatments. Color normalization may be applied to the set of DAs prior to the determined color treatment. Techniques disclosed herein may also determine one or more parameters for a multimedia presentation of the set of DAs based on a characteristic of the associated audio media item. The parameters for the multimedia presentation may comprise one or more of: preferred DA sequences, portions, clusters, layouts, themes, transition types, or transition durations.

Dual cameras that simultaneously capture RGB and IR images of a scene can be used to remove glare from the RGB image, transformed to a YUV image, by substituting a glare region in the luminance component of the YUV image with the pixel values in a corresponding region of the IR image. Further, color information in the glare region may be adjusted by averaging over or extrapolating from the color information in the surrounding region.

An endoscope system includes a light source unit, an image sensor, an image acquisition unit, a first image generation unit, a second image generation unit, and a region discrimination unit. The light source unit emits a plurality of types of illumination light beams with different wavelengths. The image acquisition unit acquires images corresponding to the respective illumination light beams. The first image generation unit generates a first image (white light image) serving as a base of a display image. The second image generation unit generates a second image (bright/dark region discrimination image or the like), using at least one image having a different corresponding wavelength from that of the image used for the generation of the first image. The region discrimination unit discriminates the regions in the observation target, using the second image.