Described are examples for generating high dynamic range (HDR)/wide color gamut (WCG) output from an image sensor. A raw red, green, blue (RGB) image obtained by the image sensor can be received. A plurality of color transform operations can be applied to the raw RGB image to generate a HDR/WCG image. The HDR/WCG image can be stored in a memory, displayed on a display, transmitted to another device, etc.

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.

Described are examples for generating high dynamic range (HDR)/wide color gamut (WCG) output from an image sensor. A raw red, green, blue (RGB) image obtained by the image sensor can be received. A plurality of color transform operations can be applied to the raw RGB image to generate a HDR/WCG image. The HDR/WCG image can be stored in a memory, displayed on a display, transmitted to another device, etc.

In one embodiment, coloring artifacts of a color image output by a camera are minimized by taking into account a distortion introduced by the lens. Based on the distortion, the color reconstruction determines which pixels in the grayscale image to include in the reconstruction process. Additionally, the color reconstruction can take into account edges depicted in the grayscale image to determine which pixels to include in the reconstruction process. In another embodiment, coloring artifacts in a 360 degree color image are minimized by performing the color reconstruction process on a three-dimensional surface. Before the color reconstruction takes place, the two-dimensional grayscale image is projected onto a three-dimensional surface, and the color reconstruction is performed on the three-dimensional surface. The color reconstruction on the three-dimensional surface can take into account the distortion produced by the lens and/or can take into account the edges depicted in the two-dimensional and three-dimensional grayscale image.

In one embodiment, coloring artifacts of a color image output by a camera are minimized by taking into account a distortion introduced by the lens. Based on the distortion, the color reconstruction determines which pixels in the grayscale image to include in the reconstruction process. Additionally, the color reconstruction can take into account edges depicted in the grayscale image to determine which pixels to include in the reconstruction process. In another embodiment, coloring artifacts in a 360 degree color image are minimized by performing the color reconstruction process on a three-dimensional surface. Before the color reconstruction takes place, the two-dimensional grayscale image is projected onto a three-dimensional surface, and the color reconstruction is performed on the three-dimensional surface. The color reconstruction on the three-dimensional surface can take into account the distortion produced by the lens and/or can take into account the edges depicted in the two-dimensional and three-dimensional grayscale image.

Various embodiments provide a method of enhancing images in low lighting conditions wherein a color image is captured with a color camera, a first monochromatic image is captured with a first monochromatic camera, and a second monochromatic image is captured with a second monochromatic camera. Image registration is performed to align the first and second monochromatic images and the luminance information from the registered monochromatic images is fused with chrominance information from the color image.

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.

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.

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.

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.