Low-bit-width HDR image generation method and device, storage medium and terminal

Abstract

The invention discloses a low-bit-width HDR image generation method and device, a storage medium and a terminal. The method comprises the steps of determining a to-be-processed high-bit-width HDR image; splitting the HDR image with the high bit width to obtain N frames of split images; performing bit width reduction processing on the split images from the first frame to the Nth frame to obtain N frames of low-bit-width images; and synthesizing the N frames of low-bit-width images to obtain the low-bit-width HDR image. According to the scheme, when the bit width of the data is reduced, the precision loss of the graph is effectively reduced, and a better image processing effect is achieved.

Description

technical field [0001] The present invention relates to the field of communication technologies, in particular to a method and device for generating a low-bit-width HDR image, a storage medium, and a terminal. Background technique [0002] The image signal processing device receives the raw (Raw) data of the image sensor, and outputs an image that can be displayed on the screen after processing. A high dynamic range (High dynamic range, HDR) image usually has a higher bit width and contains more brightness and detail information. The HDR image acquisition method includes combining multiple frames of different exposure images into one frame of HDR image, or combining multiple frames of equal exposure images into one frame of HDR image, or outputting from an image sensor with HDR function. In order to preserve the complete information of the HDR data, a signal processing device capable of receiving and processing high-bit-width images is required. [0003] The maximum bit wi...

AI Technical Summary

Problems solved by technology

Shifting or truncating high-bit-width data to reduce the bit-width will cause loss of image dynamic range and affect image quality

If the high-order and low-order information of the original high-bit-width data is retained in the low-bit-width data and input to the image processing system through nonlinear compression, the linear proportional relationship of the original image data will also be destroyed. When processing RAW image data , will cause abnormalities in image details, colors, etc.

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