Optical field camera and image processing method thereof

Abstract

The invention discloses an image processing method used for an optical field camera and the optical field camera. The image processing method comprises steps that the optical field camera is used to acquire a first image and a second image, each of which comprises a plurality of sub-areas; according to the brightness distribution of the at least one sub-area of the first image, the stenoky brightness redistribution processing of the at least one sub-area of the second image is carried out; the image recombination processing of the first image and the second image is carried out to acquire a third image; the universe brightness redistribution processing of the third image is carried out to acquire a fourth image. The image processing method provided by the invention is advantageous in that the optical field camera is provided with a regional high dynamic image shooting capability, and good image quality is provided.

Description

Technical field [0001] The invention relates to an image capturing device and an image processing method thereof, and particularly to a light field camera and an image processing method thereof. Background technique [0002] In the existing image capture device, when the scene to be shot has high contrast characteristics, for example, there is a bright sky, a dark shadow in the scene, or a strong light source directly hits the lens. The efficiency of the image sensor component in converting the optical signal into an electrical signal under fixed parameters (such as exposure time, gain, etc.) is limited, and therefore the signal intensity in the strong light region will approach or reach a saturation value. Therefore, in order to prevent the electric signal intensity in the strong light area from approaching or reaching the saturation value, the parameters of the image sensing component (such as exposure time, etc.) can be adjusted to reduce the electric signal intensity in the s...

AI Technical Summary

Problems solved by technology

[0002] In the existing image capture device, when the scene to be photographed has high contrast (highcontrast) characteristics, for example, there is a brighter sky in the scene, a darker shadow or a stronger light source directly hitting the lens, due to The efficiency of image sensing components to convert light signals into electrical signals under fixed parameters (such as: exposure time, gain, etc.) is limited, so the signal strength in the bright light area will approach or reach the saturation value

Therefore, in order to prevent the electrical signal intensity of the strong light area from approaching or reaching a saturation value, the parameters of the image sensing component (such as: exposure time, etc.) can be adjusted to reduce the electrical signal intensity of the strong light area, but this method also Significantly reduces the electrical signal in low-light areas, resulting in a signal level that is close to the noise level of the image sensor components

Therefore, no matter whether the electrical signal in the strong light area is saturated to sacrifice the resolution of the image details in the strong light area, or the signal in the strong light area is not saturated by adjusting parameters, these two methods will make the signal in the weak light area The intensity is close to the noise level and reduces the resolution of image details in low-light areas

Under the premise of using appropriate hardware or software methods, the existing technology cannot take into account the resolution of strong light and low light areas in the image

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