In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera and a processor may be configured to perform the techniques. The monochrome camera may be configured to capture monochrome image data of a scene. The color camera may be configured to capture color image data of the scene. The processor may be configured to perform intensity equalization with respect to a luma component of either the color image data or the monochrome image data to correct for differences in intensity between the color camera and the monochrome camera.

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.

In general, techniques are described that facilitate processing of color image data using both a mono image data and a color image data. A device comprising a monochrome camera, a color camera, and a processor may be configured to perform the techniques. The monochrome camera may capture monochrome image data of a scene. The color camera may capture color image data of the scene. A processor may determine a parallax value indicative of a level of parallax between the monochrome image data and the color image data and determine that the parallax is greater than the parallax threshold. The processor may further combine, in response to the determination that the parallax is greater than the parallax threshold, a luma component of the color image data with a luma component of the monochrome image data to generate a luma component of enhanced color image data.

A system for improving imaging during a surgical procedure includes an image sensor coupled to a controller. The image sensor is coupled to capture a video, including a first image frame with a smoke occlusion due to surgical smoke, of the surgical procedure. The first image frame includes a plurality of pixels each having an imaged color representing a view of the tissue affected by the smoke occlusion. The controller stores instructions that when executed causes the system to perform operations. The operations include determining an estimated true color of each of the plurality of pixels. The estimated true color is closer to an unoccluded color of the tissue than the imaged color. The operations also include generating, in response to determining the estimated true color, a desmoked first image frame with a reduced amount of the smoke occlusion relative to the first image frame.

An image processing apparatus that generates a combined image by performing gamma processing and combination processing for a plurality of images obtained by capturing images of the same image capturing-target scene under different exposure conditions and includes: an acquisition unit configured to acquire adjustment parameters that adjust gamma characteristics applied to the gamma processing in accordance with a dynamic range of the image capturing-target scene; a gamma processing unit configured to perform the gamma processing to which adjustment parameters acquired by the acquisition unit have been applied for the plurality of images; and a combination unit configured to generate the combined image by performing the combination processing for the plurality of images for which the gamma processing has been performed by the gamma processing unit.

An image processing method comprising: receiving a first image signal representing a portion of a captured image with a first dynamic range; generating a second image signal using the first image signal: applying one of: a first gain to the brightness value of each pixel in the portion of the captured image represented by the first image signal having a brightness value less than a first threshold brightness value, the first gain serving to increase the brightness value of each pixel to which it is applied, and a second gain to the brightness value of each pixel in the portion of the captured image represented by the first image signal having a brightness value greater than a second threshold brightness value, the second gain serving to decrease the brightness value of each pixel to which it is applied; and after the application of the one of the first and second gains, performing a conversion process such that the brightness value of each pixel in the portion of the captured image represented by the first image signal becomes represented in the second format, thus forming the second image signal.

An image processing apparatus includes: a processor configured to execute: acquiring image data; generating a first interpolation image data corresponding to light in a red wavelength band, a second interpolation image data corresponding to light in a green wavelength band, a third interpolation image data corresponding to light in a blue wavelength band, and fourth interpolation image data corresponding to narrow band light; calculating a ratio of a pixel value of the fourth interpolation image data to a pixel value of the second interpolation image data for each region including one or a plurality of pixels; extracting a pixel of the fourth interpolation image data in the region where the calculated ratio exceeds a predetermined threshold value; generating a composite image data based on the pixel value of the extracted pixel and the second or the third interpolation image data; and generating color image data.

A portable computing device equipped with at least one image capture device and/or a light source captures an image (or a video) of a portion of a surface of interest having the damage that is exposed to a light from the light source. The portable computing device converts the image to an output image that highlights the damage. If the damage is a dent, the image is converted to a false color image using a saliency algorithm. If the damage is a scratch, the image is converted to a colorspace stretched image using color stretching algorithms. The size of the damage is determined by capturing an image of a ruler placed adjacent to the damage and the portion of surface of interest having the damage. The ruler is then removed from the image. The resulting image is converted to the output image. The ruler is added to the output image.

An example method is performed by a thermal imaging device. The method includes capturing a thermal image of a vehicle and displaying the thermal image within a first region of a display of the thermal imaging device. The method further includes displaying information related to servicing the vehicle within a second region of the display that is distinct from the first region. Other example methods performed by a thermal imaging device are also disclosed herein.

An example method is performed by a thermal imaging device. The method includes capturing a thermal image of a vehicle and displaying the thermal image within a first region of a display of the thermal imaging device. The method further includes displaying information related to servicing the vehicle within a second region of the display that is distinct from the first region. Other example methods performed by a thermal imaging device are also disclosed herein.