A method comprising receiving an input video signal comprising high dynamic range (HDR) video for presentation on a display device, and receiving metadata for the input video signal. The metadata comprises a first Bezier curve for tone mapping of the HDR video that fits a first peak luminance level. The method further comprises adjusting the first Bezier curve to a second Bezier curve for tone mapping of the HDR video that fits a second peak luminance level. The display device has the second peak luminance level, and the second peak luminance level is different from the first peak luminance level. The method further comprises producing a tone mapped video signal of the input video signal utilizing the second Bezier curve. The tone mapped video signal is provided to the display device for presentation.

An image processing apparatus comprises an acquisition unit configured to acquire image data, a first tone correction unit configured to estimate transparency for each region of the image data, and correct tone, a second tone correction unit configured to correct tone of the image data using a tone curve, and a control unit configured to control which tone correction unit is to be used to perform tone correction.

A system and method of processing an image may include capturing an image of a scene. Image data having M-bits per pixel of the image may be generated. Multiple sets of simulated image data of the scene may be generated by applying different simulated exposure times to the generated image data. A processed image may be derived from the sets of simulated image data. The image data having M-bits per pixel may be an HDR image, and the processed image may be an LDR image.

An imaging device includes a plurality of image sensors, and circuitry configured to determine whether a difference between average brightness values of first image data and second image data, both captured by a same image sensor, is equal to or greater than a first threshold. The second image data is captured at a timing later than capture of the first image data. The circuitry perform one of a) output of image data captured by a rest of the plurality of image sensors excluding the one of the plurality of image sensors and b) composition of the image data captured by the rest of the plurality of image sensors, in response to a determination that the difference in average brightness value is equal to or greater than the first threshold and the average brightness value of the second image data is equal to or smaller than a second threshold.

Systems and methods may be provided that improve the application of Histogram Equalization (HE) transfer functions for converting image system source data to display compatible image frames. Histograms developed from source data may be measured and depending on their properties, the gain of the HE transfer function may be adaptively adjusted. In some embodiments the property measured is a histogram width.

A technology enables interactive control of simultaneously displayed multiple images with high dynamic ranges, which software automation processes are programmed to reduce the complexity in managing and viewing the post window/level adjustment of the multiple images. An image control engine provides several synchronous functional capabilities, which comprises an input module, a blending factor synchronization module, a window/level synchronization module, a display module, and an image storage. For window/level adjustment of the images in blended views, the blending factor synchronization module automatically links the activation of a window/level control of one image with a transparency blending factor that affects both images. For synchronization of window/level adjustments of two or more images, a window/level synchronization module is configured to automatically change window/level parameters of all remaining images when the user makes an adjustment to a window/level control of one image such that all images with updated window/level parameters are displayed simultaneously.

Implementations of the disclosure provide for methods, systems, and machine-readable media for image processing. In some embodiments, a method for image processing includes: generating, by a processor, a first histogram and a first parameter set for a first image; constructing, by the processor, a model representative of a second histogram of a second image based on an adjustment parameter set and the first parameter set; generating the second histogram based on the model; and generating a second image based on the first image and the second histogram. In some embodiments, the first histogram is a two-dimensional histogram.

An image processing apparatus includes a skin area detection unit configured to detect a skin area of an object person, a difference area detection unit configured to detect a difference area between the visible light image and the infrared light image, a correction target area detection unit configured to detect a correction target area of the object person based on the skin area detected by the skin area detection unit and the difference area detected by the difference area detection unit, and a correction unit configured to correct the correction target area in the visible light image.

Aspects of the present disclosure relate aids for the visually impaired.

Systems and methods of enhancing images use a contrast limited adaptive histogram equalization (CLAHE) algorithm in a field programmable gate array (FPGA). The images may be obtained by the imaging elements of a multiple imaging elements endoscope of an endoscopy system.