Methods, systems, and computer program products of fusing Molecular Chemical Imaging (MCI) and Red Green Blue (RGB) images are disclosed herein. A sample is illuminated with illuminating photons which interact with the sample and are used to form MCI and RGB images. The MCI and RGB images are fused by way of mathematical operations to generate a RGB image with a detection overlay.

This imaging signal processing apparatus includes: a first video signal processing unit that generates, from a pixel signal obtained by an imaging unit capable of obtaining a pixel signal with a first dynamic range, a luminance reduction video signal with a second dynamic range narrower than the first dynamic range; and a second video signal processing unit that generates, from the pixel signal, an information signal of a luminance change component of a luminance region of the luminance reduction video signal and a gain up signal of a pixel signal of the luminance region and adds the information signal and the gain up signal to the luminance reduction video signal.

Provided herein are imaging systems for a patient including an imaging probe and an imaging assembly. The imaging probe includes: an elongate shaft with a proximal end, a distal portion, and a lumen extending between the proximal end and the distal portion; a rotatable optical core with a proximal end and a distal end, and at least a portion of the rotatable optical core is positioned within the lumen of the elongate shaft; and an optical assembly positioned proximate the distal end of the rotatable optical core, the optical assembly configured to direct light to tissue to be imaged and collect reflected light from the tissue to be imaged. The imaging assembly is constructed and arranged to optically couple to the imaging probe. The imaging assembly is configured to emit light into the imaging probe and receive the reflected light collected by the optical assembly.

A digital image sequence with multiple image frames can be enhanced. An appearance graph can be determined from the digital image sequence. The appearance graph includes prime layer nodes. Each prime layer node can represent a distinctive visual style. A prime layer image sequence can be computed for each prime layer node that matches the visual style represented by the prime layer node. An enhanced image sequence can be generated by blending at least two prime layer image sequences as defined by the appearance graph.

The present invention provides image processing apparatus, an image processing system and an image processing method, whereby the accuracy of evaluation can be improved. Image processing apparatus for correcting a captured image includes an image acquisition unit that acquires block pixels, an image conversion unit that converts the lightness/darkness, density, luminance and color space of the image based on the RGB values contained in the block pixels, and an output unit that outputs the converted image, and the image conversion unit further includes a binarization processing unit that binarizes the image, calculates the area ration of lightness and darkness in the image, and specifies the light and dark fields, a density conversion unit that performs conversion into wavelengths corresponding to the RGB values, a luminance conversion unit that performs conversion into luminance of the maximum wavelength that is visible to human eye, and a color-space conversion unit that performs conversion into HSV values representing a color space of color tones.

A thermal image processing device includes: an acquirer that acquires a thermal image from a thermal image sensor; a first processor that performs, on a high temperature pixel indicating a temperature higher than a first temperature among a plurality of pixels included in the thermal image acquired, image processing for decreasing the temperature indicated by the high temperature pixel; and a second processor that performs high frequency enhancement processing for enhancing a high frequency component included in a converted image serving as the thermal image on which the image processing has been performed.

This disclosure relates to a system for performing efficient learning of a specific portion. To achieve this purpose, there is proposed a system configured to generate a converted image on the basis of input of an input image, the system comprising a learning model in which parameters are adjusted so as to suppress an error between the input image and a second image converted upon input of the input image, the learning model being subjected to different learning at least between a first area in the image and a second area different from the first area.

Systems and techniques are described for generating a high dynamic range (HDR) image. An imaging system can be configured to receive a first image captured by an image sensor according to a first exposure time. The imaging system can generate a modified image based on the first image by modifying the first image using a gain setting to simulate a second exposure time based on exposure compensation. The imaging system generates a high dynamic range (HDR) image at least in part by merging multiple images. The multiple images include a second-exposure image that corresponds to the second exposure time. The second-exposure image can be the modified image. The second-exposure image can be based on the modified image, processed variant of the modified image processed for noise reduction based on one or more other images actually captured using the second exposure time.

Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.

An information processing system is disclosed. The system includes a terminal apparatus, and an information processing apparatus. In the information processing apparatus, first image data are stored in a first storage device. Second image data are received from the terminal apparatus. Third image data representing a third image is generated for displaying a part of a second image represented by second image data in a region inside or outside a shape of an element included in a first image represented by the first image data. The third image data are output to an output apparatus. In the terminal apparatus, an input is received from a user. The second image data are stored in a second storage device. The second image data are sent to the information processing apparatus.