Systems and methods for high dynamic range imaging using array cameras in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of generating a high dynamic range image using an array camera includes defining at least two subsets of active cameras, determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings, configuring the active cameras using the determined image capture settings for each subset, capturing image data using the active cameras, synthesizing an image for each of the at least two subset of active cameras using the captured image data, and generating a high dynamic range image using the synthesized images.

Dual cameras that simultaneously capture RGB and IR images of a scene can be used to remove glare from the RGB image, transformed to a YUV image, by substituting a glare region in the luminance component of the YUV image with the pixel values in a corresponding region of the IR image. Further, color information in the glare region may be adjusted by averaging over or extrapolating from the color information in the surrounding region.

A processing circuitry is configured to generate a first analysis result based on a size of a partial area of a target area when the partial area is captured by only one of a first sensor or a second sensor, based on first image data for the target area captured by the first sensor and second image data for the target area captured by the second sensor, and generate first final image data or second final image data by using the first image data and the second image data, based on the first analysis result. A difference between the first final image data and the second final image data is based on a difference between a first characteristic of the first sensor and a second characteristic of the second sensor.

Dual-aperture digital cameras with auto-focus (AF) and related methods for obtaining a focused and, optionally optically stabilized color image of an object or scene. A dual-aperture camera includes a first sub-camera having a first optics bloc and a color image sensor for providing a color image, a second sub-camera having a second optics bloc and a clear image sensor for providing a luminance image, the first and second sub-cameras having substantially the same field of view, an AF mechanism coupled mechanically at least to the first optics bloc, and a camera controller coupled to the AF mechanism and to the two image sensors and configured to control the AF mechanism, to calculate a scaling difference and a sharpness difference between the color and luminance images, the scaling and sharpness differences being due to the AF mechanism, and to process the color and luminance images into a fused color image using the calculated differences.

An image processing apparatus and method for converting a frame rate are provided. According to the present disclosure, an electronic device includes a memory, a first black-and-white image sensor, a second image sensor, and a processor. The processor is configured to set different values as a first setting value for the first black-and-white image sensor and a second setting value for the second image sensor, if an illuminance value indicating an illuminance at an arbitrary time point does not satisfy a predetermined illuminance value, to acquire a black-and-white image of an object based on the first setting value using the first black-and-white image sensor, to acquire at least one color image of the object based on the second setting value using the second image sensor, to generate a color image by synthesizing the black-and-white image with a color determined based on at least part of color information of the at least one color image, and to store the generated color image as video data in the memory. The black-and-white image has a high resolution relative to a resolution of the at least one color image.

An image detecting device includes a color image sensor configured to sense visible light and to output color image data based on the sensed visible light; a first infrared lighting source configured to provide first infrared rays to a subject; a second infrared lighting source configured to provide second infrared rays to the subject; a mono image sensor configured to sense a first infrared light or a second infrared light reflected from the subject and output infrared image data; and an image signal processor configured to, measure an illuminance value based on the color image data, measure a distance value of the subject based on a portion of the infrared image data corresponding to the first infrared light, and obtain an identification image of the subject based on the illuminance value, the distance value, and a portion of the infrared image data corresponding to the second infrared light.

In one embodiment of the invention, an apparatus is disclosed including an image sensor, a color filter array, and an image processor. The image sensor has an active area with a matrix of camera pixels. The color filter array is in optical alignment over the matrix of the camera pixels. The color filter array assigns alternating single colors to each camera pixel. The image processor receives the camera pixels and includes a correlation detector to detect spatial correlation of color information between pairs of colors in the pixel data captured by the camera pixels. The correlation detector further controls demosaicing of the camera pixels into full color pixels with improved resolution. The apparatus may further include demosaicing logic to demosaic the camera pixels into the full color pixels with improved resolution in response to the spatial correlation of the color information between pairs of colors.

A method for processing image information has accessing position information associated with images, identifying a position sequence that provides a series of locations along a pathway corresponding to a subject, and displaying the images in an order of the position sequence. The position sequence is adjusted based on movement of the subject.

A multi-aperture imaging system comprising a first camera with a first sensor that captures a first image and a second camera with a second sensor that captures a second image, the two cameras having either identical or different FOVs. The first sensor may have a standard color filter array (CFA) covering one sensor section and a non-standard color CFA covering another. The second sensor may have either Clear or standard CFA covered sections. Either image may be chosen to be a primary or an auxiliary image, based on a zoom factor. An output image with a point of view determined by the primary image is obtained by registering the auxiliary image to the primary image.

There is provided a video signal noise elimination method for performing noise correction by digital processing. The video signal noise elimination method includes using, as an output video signal, a mixed video signal obtained by mixing an input video signal and a low-pass video signal at a predetermined mixing ratio corresponding to a contour signal. The method further includes subtracting an off-set, which grows larger as the low-pass video signal becomes greater, from the contour signal. The method further includes controlling the predetermined mixing ratio so that a ratio of the low-pass video signal contained in the mixed video signal increases in a portion where the contour signal is small and so that the ratio of the low-pass video signal contained in the mixed video signal decreases in a portion where the contour signal is large.