A medical device includes a sensor, a processor, and non-transitory computer readable medium storing imaging instructions. The sensor captures a first raw image into a first frame of raw pixel values including a plurality of first pixel values that represent pixels of a first color and a plurality of second pixel values that represent pixels of a second color. The sensor captures a second raw image into a second frame of raw pixel values including a plurality of third pixel values that represent pixels of the second color and a plurality of fourth pixel values that represent pixels of a third color. The processor convolves the first frame of raw pixel values with the second frame of raw pixel values to generate a first extrapolated frame of pixel values in a YCrCb format and creates a processed image from the first extrapolated frame of pixel values.

At least first and second digital images of the sample are acquired having different focal heights relative to a platform on which the cells are disposed. A contrast matrix is produced having elements computed in dependence upon the difference between the values of the corresponding pixels in the first and second images. A phase matrix is produced by convolution of the contrast matrix with a predetermined distance matrix. The phase matrix is used to assess characteristics of the sample, such as the presence of cells in the sample or the heights of cells in the sample.

At least first and second digital images of the sample are acquired having different focal heights relative to a platform on which the cells are disposed. A contrast matrix is produced having elements computed in dependence upon the difference between the values of the corresponding pixels in the first and second images. A phase matrix is produced by convolution of the contrast matrix with a predetermined distance matrix. The phase matrix is used to assess characteristics of the sample, such as the presence of cells in the sample or the heights of cells in the sample.

The present application discloses a novel algorithm to convert medical hyperspectral images (MHSI) into RGB (RedBlueGreen) images in different medical conditions by making use of the three spectral bands (Red, Green and Blue) of the MHSI and mapping them into Red, Green and Blue components for visualization of hyperspectral images.

A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

An image processing system according to an example aspect of the present disclosure includes: an image acquisition unit configured to acquire a monochrome image; a pixel value correction unit configured to correct a pixel value of the monochrome image based on information related to a pixel value; and a colorization generation unit configured to generate a colorized image corresponding to the monochrome image from the corrected monochrome image by using a colorization prediction model trained by machine learning. With the present disclosure, it is possible to improve the reproduction accuracy of a color in colorization of a monochrome image.

The color shift compensation method comprises: receiving target input gray scale data of a target sub pixel dot in a present line, and acquiring previous output gray scale data of a sub pixel dot of the previous line in the same display data line of the target sub pixel dot, and then, implementing digital to analog conversion to the target output gray scale data of the target sub pixel dot simultaneously corresponding to the target input gray scale data and the previous output gray scale data with combination of the target relationship table to acquire the target voltage of the target sub pixel dot, and ultimately, adjusting a color displayed by a target pixel where the target sub pixel dot is. With the present invention, the color shift issue due to the resistance difference of the fan section can be solved to promote the display effect.

This document describes techniques and apparatuses for implementing monochrome-color mapping using a monochromatic imager and a color map sensor. These techniques and apparatuses enable better resolution, depth of color, or low-light sensitivity than many conventional sensor arrays.

A medical device includes a sensor, a processor, and non-transitory computer readable medium storing imaging instructions. The sensor captures a first raw image into a first frame of raw pixel values including a plurality of first pixel values that represent pixels of a first color and a plurality of second pixel values that represent pixels of a second color. The sensor captures a second raw image into a second frame of raw pixel values including a plurality of third pixel values that represent pixels of the second color and a plurality of fourth pixel values that represent pixels of a third color. The processor convolves the first frame of raw pixel values with the second frame of raw pixel values to generate a first extrapolated frame of pixel values in a YCrCb format and creates a processed image from the first extrapolated frame of pixel values.

A color discriminating apparatus reads a plurality of colored dots placed on computer readable media. The plurality of colored dots represents encoded data that has a plurality of non-binary digits where each non-binary digit has at least three possible digit values. Each non-binary digit is represented by a single colored dot from the plurality of colored dots, and each possible digit value is represented by a different color so that a color of each colored dot indicates a digital value represented by the colored dot. The color discriminating apparatus detects a color of each colored dot in the plurality of colored dots. A module correlates the color of each colored dot in the plurality of colored dots detected by the color discriminating apparatus to recover an original digital value represented by each colored dot in the plurality of colored dots and to recover the encoded data that is represented by the plurality of non-binary digits.