A data processing method and apparatus

CN122319672APending Publication Date: 2026-06-30YINWANG INTELLIGENT TECHNOLOGIES CO LTD
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Patent Information

Application Number
CN202480034648.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-30
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

In existing technologies, image data is compressed using fixed compression parameters under different lighting conditions, resulting in significant information loss and affecting the image output quality of the image signal processor.

Method used

The compression parameters are dynamically adjusted based on the brightness distribution information of the image data. High bit depth image data is compressed to low bit depth through piecewise linear compression, preserving the original details of the image data and reducing the amount of data.

Benefits of technology

It reduces information loss caused by compression, improves the output quality of the image signal processor, and reduces data transmission bandwidth consumption.

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Abstract

A data processing method and apparatus are provided. The method includes: firstly, acquiring first image data, wherein the bit depth of the first image data is the first bit depth (S301); then, determining compression parameters based on the first image data, wherein the compression parameters are associated with the brightness distribution information of the first image data (S302); and compressing the first image data according to the compression parameters to obtain second image data, wherein the bit depth of the second image data is the second bit depth, and the first bit depth is greater than the second bit depth (S303). The brightness distribution information of the first image data is used to indicate the distribution of the brightness values ​​of pixels in the first image data across multiple brightness intervals, wherein these multiple brightness intervals fall within the data range of the first bit depth. Thus, the obtained compression parameters conform to the brightness distribution of the image data, reducing information loss caused by compression and improving the output quality of the ISP.
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