Systems and methods for tracking objects in a field of view are disclosed. In one embodiment a method may include capturing, via a camera, a real-world object in the field of view; generating a first object data associating the real-world object with a first position of the real-world object in a real-world environment at a first time; generating a virtual object representative of the real-world object depicting the real-world object in the first position at the first time; generating a second object data associating the real-world object with a second position of the real-world object in the real-world environment at a second time, determining a displacement value of the real-world object between the first position and the second position, modifying the virtual object to include an indication that the real-world object has been displaced when the displacement value is greater than a threshold value.

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.

A system is provided for converting image data from a first image format to a second image format that approximates a three-dimensional lookup table. The system includes an image processing operation database that stores image format conversion configurations; an image format conversion selector that selects an image format conversion for converting the image data from a first to a second format and that accesses, from the database, a corresponding image format conversion configuration for converting the image data to the second format; and an image processor that executes processing input operations on RGB components of the image data, a 3×3 matrix, and processing output operations on the respective RGB components that are output from the 3×3 matrix, such that the image data is converted to the second format, with the processing input and output operations comprising the accessed image format conversion configuration.

A reception device is provided. The reception device includes a high definition multimedia interface configured to receive first video data of a first high dynamic range video and first characteristic information for an electro-optical conversion of the first video data, the first characteristic information including a first value for the electro-optical conversion of the first video data when a first high dynamic range curve is to be indicated and a second value for the electro-optical conversion of the first video data when a second high dynamic range curve is to be indicated. The reception device includes reception circuitry configured to receive second video data of a second high dynamic range video and second characteristic information for electro-optical conversion of the second video data. The reception device further includes a video decoder, electro-optical conversion circuitry, and a display.

A reception device is provided. The reception device includes a high definition multimedia interface configured to receive first video data of a first high dynamic range video and first characteristic information for an electro-optical conversion of the first video data, the first characteristic information including a first value for the electro-optical conversion of the first video data when a first high dynamic range curve is to be indicated and a second value for the electro-optical conversion of the first video data when a second high dynamic range curve is to be indicated. The reception device includes reception circuitry configured to receive second video data of a second high dynamic range video and second characteristic information for electro-optical conversion of the second video data. The reception device further includes a video decoder, electro-optical conversion circuitry, and a display.

If a scene change is not detected by a scene change detector, in each frame until a count value of a frame counter reaches a predetermined value, a tone curve pattern updater sets a representative point group of a tone curve pattern selected in the most recent frame in which a count value is reset to an initial value as a representative point group for updating. By assuming that k is a number less than 1, the tone curve pattern updater generates a first multiplication value obtained by multiplying the set representative point group for updating by a coefficient (1−k) and a second multiplication value obtained by multiplying the representative point group output by the tone curve pattern updater in an immediately preceding frame of each frame by a coefficient k, and outputs a combined representative point group obtained by adding the first multiplication value and the second multiplication value.

A conversion method for converting luminance of a video, including a luminance value in a first luminance range, to be displayed on a display apparatus includes: acquiring a first luminance signal indicating a code value obtained by quantization of the luminance value of the video; and converting the code value indicated by the acquired first luminance signal into a second luminance value determined based on a luminance range of the display apparatus, the second luminance value being compatible with a second luminance range with a maximum value smaller than a maximum value of the first luminance range and larger than 100 nit. This provides the conversion method capable of achieving further improvement.

A conversion method for converting luminance of a video, including a luminance value in a first luminance range, to be displayed on a display apparatus includes: acquiring a first luminance signal indicating a code value obtained by quantization of the luminance value of the video; and converting the code value indicated by the acquired first luminance signal into a second luminance value determined based on a luminance range of the display apparatus, the second luminance value being compatible with a second luminance range with a maximum value smaller than a maximum value of the first luminance range and larger than 100 nit. This provides the conversion method capable of achieving further improvement.

A multi-aperture imaging system and application thereof are provided. The multi-aperture imaging system includes a long-focal length camera module, a mid-focal length camera module and a wide-angle camera module. The long-focal length camera module has a field of view-FOV3. The mid-focal length camera module has a field of view-FOV2. The wide-angle camera module has a field of view-FOV1. They satisfy the condition of FOV1>FOV2>FOV3. Besides, a portion of the field of view area of FOV1 is covered by a portion of the field of view area of FOV2, while a portion of the field of view area of FOV2 is covered by a portion of the field of view area of FOV3, so as to enable a better zooming performance.

The disclosure provides a method, device, and readable storage medium for adjusting image quality. The display device system selects a focus area of a target image, and outputs a mapping relationship curve of an input luminance value and an output luminance value of the target image. Then, an input luminance value range of pixels in the focus area of the target image is calculated, and upper and lower edge coefficients of the input luminance value range are proportionally adjusted to obtain new upper and lower edge coefficients. The mapping relationship curve is adjusted according to the new upper and lower edge coefficients, thereby adjusting the focus area of the target image.