An infrared imaging system combines a low-resolution infrared camera with a high-resolution visible-light camera. Information extracted from images taken using the visible-light camera is combined with the low-resolution infrared images to produce an infrared image with enhanced spatial details. The process of extracting the information from the visible image adjusts the quantization level of the visible-light image to scale visible objects to match objects identified in the infrared image.

The present disclosure provides wavelength discriminating imaging systems and methods that spatially separate (over different depths) the wavelength constituents of an image using a dispersive lens system or element, such that this spectral information may be exploited and used. The wavelength constituents of an image are deconstructed and identified over different depths using a dispersive lens system or element.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

Embodiments provide a video camera configured to capture, compress, and store video image data in a memory of the video camera at a rate of at least about twenty three frames per second. The video image data can be mosaiced image data, and the compressed, mosaiced image data may remain substantially visually lossless upon decompression and demosaicing.

The present disclosure provides wavelength discriminating imaging systems and methods that spatially separate (over different depths) the wavelength constituents of an image using a dispersive element or lens, such that this spectral information may be exploited and used. The wavelength constituents of an image are deconstructed and identified over different depths using the dispersive element or lens.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

Disclosed are improved methods, systems and devices for color night vision that reduce the number of intensifiers and/or decrease noise. In some embodiments, color night vision is provided in system in which multiple spectral bands are maintained, filtered separately, and then recombined in a unique three-lens-filtering setup. An illustrative four-camera night vision system is unique in that its first three cameras separately filter different bands using a subtractive Cyan, Magenta and Yellow (CMY) color filtering-process, while its fourth camera is used to sense either additional IR illuminators or a luminance channel to increase brightness. In some embodiments, the color night vision is implemented to distinguish details of an image in low light. The unique application of the three-lens subtractive CMY filtering allows for better photon scavenging and preservation of important color information.

Embodiments provide a video camera configured to capture, compress, and store video image data in a memory of the video camera at a rate of at least about twenty three frames per second. The video image data can be mosaiced image data, and the compressed, mosaiced image data may remain substantially visually lossless upon decompression and demosaicing.

The present technology relates to a solid-state image sensor, an imaging control method, a signal processing method, and an electronic apparatus that suppress the deterioration of image quality, which is caused by the difference of sensitivity between pixels. A solid-state image sensor includes: a pixel array unit including a plurality of pixels arranged, the plurality of pixels including a plurality of kinds of pixels, the plurality of kinds of pixels including a first pixel and a second pixel, the first pixel having the highest sensitivity, the second pixel having a sensitivity lower than the sensitivity of the first pixel; and a control unit that controls at least one of an analog gain and exposure time of/for the respective pixels depending on a ratio between the sensitivities of the first pixel and the second pixel. The present technology is applicable to a solid-state image sensor such as a CMOS image sensor.

Methods and apparatuses are provided for obtaining an image by an electronic device. A first image for an object is obtained from a first image sensor of the electronic device. Information regarding a focusing state is determined with respect to the object based on the first image. The second image sensor of the electronic device is focused on the object based on the information regarding the focusing state. A second image for the object is obtained through the second image sensor.