HDR image imaging method, system, electronic device and storage medium

An imaging method and imaging system technology, applied in the field of image processing, can solve problems such as inaccurate color correction, ghost noise, and low imaging quality of HDR images, and achieve the effects of improving brightness, improving dark area details, and accurate color correction

Active Publication Date: 2021-07-09
SPREADTRUM COMM (SHANGHAI) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the overexposure of high-brightness areas or the darkening of low-brightness areas in the prior art in dark light and high dynamic scenes, the existence of inaccurate color correction, ghosting phenomenon and noise caused by using different exposure data. Too large, eventually leading to the defect of low imaging quality of HDR images, providing an imaging method and system for HDR images based on ordinary all-in-one sensors that can improve the imaging quality of images under bright backlight, dark light or low light , electronic equipment and storage media

Method used

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  • HDR image imaging method, system, electronic device and storage medium
  • HDR image imaging method, system, electronic device and storage medium
  • HDR image imaging method, system, electronic device and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0065] Such as image 3 As shown, this embodiment provides a method for imaging an HDR image, which specifically includes the following steps:

[0066] Step 101, collect a frame of raw data in raw format in a high dynamic scene through an N-in-one image sensor, and the bit width of the raw data is n; during the collection process, adjust the AE parameters so that the original data retains the details of the highlighted area and the dark area is not full black.

[0067] Step 102: Perform N-in-one binning processing on the original data to generate M frames of brightness data in raw format with different brightness, and the bit width of the brightness data is n.

[0068] Step 103: Perform ISP and exposure fusion processing on M frames of luminance data to generate image data in yuv format of a frame of HDR image, and the bit width of the image data is m.

[0069] Wherein, N is the square number of an integer greater than or equal to 2, such as 4, 9 or 16, etc., and M is an int...

Embodiment 2

[0088] This embodiment is basically the same as Embodiment 1, except that the implementation of step 103 is different. Such as Figure 8 As shown, in this embodiment, step 103 specifically includes:

[0089] Step 1031', use the HDR exposure fusion algorithm to process M frames of brightness data to obtain a frame of second intermediate data in raw format, and the bit width of the second intermediate data is n;

[0090] Step 1032', perform ISP processing on a frame of second intermediate data to generate image data in yuv format of a frame of HDR image.

[0091] This embodiment provides an HDR image imaging method based on an ordinary all-in-one sensor on a low-precision pipeline that can improve the imaging quality of images under high-brightness backlight, dark light, or low light. The data processing process involved is as follows: Figure 9 As shown, after AE control, the 4in1 sensor collects raw data of 1frame 10bit width raw format, after 4in1binning processing, obtains...

Embodiment 3

[0095] Such as Figure 10 As shown, this embodiment provides an HDR image imaging system, including an image acquisition module 1 , an image reading module 2 and an image generation module 3 .

[0096] The image acquisition module 1 is used to acquire a frame of raw data in a high dynamic scene through an N-in-one image sensor, and the bit width of the original data is n; during the acquisition process, by adjusting the AE parameters, the original data retains the details of the highlighted area and Dark areas are not completely black.

[0097] The image reading module 2 is used to perform N-in-one binning processing on the original data to generate M frames of brightness data in raw format with different brightness, and the bit width of the brightness data is n.

[0098] The image generation module 3 is used to perform ISP and exposure fusion processing on M frames of brightness data to generate image data in yuv format of a frame of HDR image, and the bit width of the image...

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Abstract

The invention discloses an HDR image imaging method, system, electronic equipment and storage medium. The imaging method includes the following steps: collecting a frame of raw data in a high dynamic scene through an N-in-one image sensor; After N-in-one binning processing, M frames of raw format brightness data with different brightness are generated; ISP and exposure fusion processing is performed on M frames of brightness data to generate one frame of HDR image yuv format image data; where N is greater than or equal to 2 The square of the integer, M is an integer greater than or equal to 2. The present invention provides an HDR image imaging method based on a common all-in-one sensor that can improve the imaging quality of images under bright backlight, dark light or low light, can obtain higher-precision data, and finally generate high-quality images. HDR images.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an imaging method, system, electronic equipment and storage medium for HDR (High Dynamic Range, high dynamic range) images. Background technique [0002] Nowadays, people have higher and higher requirements on the imaging quality of image capturing devices. Compared with ordinary images, HDR images can provide more dynamic range and image details, which can meet people's requirements for image quality. [0003] Manufacturers of existing image capture devices such as mobile phones use all-in-one image sensors such as ordinary 4in1 sensors (four-in-one image sensors) to improve the signal-to-noise ratio of images in low light or low light, and to improve image details and brightness in dark areas , thereby improving the image quality, but it cannot guarantee the details of the high-brightness area, especially in low-light and high-dynamic scenes, it cannot solve the problem...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/235H04N9/04
CPCH04N23/741H04N23/84
Inventor 陈欢刘春婷彭晓峰蔡进霍星
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
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