Video Image Processing Method for Real-Time 8K Contrast Enhancement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The Retinex algorithm for contrast enhancement in 8K display systems faces significant computational complexity due to logarithmic operations, leading to reduced processing speed and the inability to perform real-time processing of high-resolution video images.
Innovation Solution
A video image processing method that simplifies the algorithm by obtaining the ratio of each input pixel's brightness value to a brightness characterization parameter, eliminating the need for logarithmic operations and using a fixed point approach to increase processing speed, allowing for real-time processing of 8K images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the Retinex algorithm with logarithmic operation is used for contrast enhancement, then the enhancement effect is good, but the computational complexity is large and processing speed is reduced
Solution Approach 1:
The patent changes the mathematical parameters of the Retinex algorithm by replacing the logarithmic operation with a linear operation. Specifically, it uses the formula: output pixel value = input pixel value / (maximum brightness value of current frame + 1) + 1. This parameter change maintains the contrast enhancement capability while eliminating the computational complexity of logarithmic calculations, thereby improving processing speed for real-time video processing
Solution Approach 2:
The patent adopts a simplified algorithm that uses basic arithmetic operations (division and addition) instead of complex logarithmic operations. This approach uses computationally 'cheap' operations that can be executed quickly and discarded for each frame, enabling real-time processing of high-definition video without requiring expensive hardware acceleration or complex computational resources
2Manufacturing precision
If the Retinex algorithm is used for 8K picture processing, then the contrast enhancement is effective, but the complex operation causes processing speed to be greatly reduced and real-time processing cannot be carried out
Solution Approach 1:
The patent applies parameter changes by simplifying the core mathematical operation from logarithmic to linear. The new formula output = input / (max_brightness + 1) + 1 replaces the traditional logarithmic Retinex computation. This parameter simplification reduces the computational burden significantly, making it feasible to process 8K resolution video frames in real-time while preserving the essential contrast enhancement functionality
Solution Approach 2:
The patent segments the image processing task by first identifying the maximum brightness value in the current frame (a global parameter), then applying a simplified per-pixel calculation using this pre-computed value. This segmentation approach allows the computationally intensive part (finding max brightness) to be done once per frame, while the per-pixel operation uses simple division and addition, thereby reducing overall processing time for high-resolution images
Data Source
AI summary
Embodiments of the disclosure provide a video image processing method and apparatus thereof, and a display device, relate to the field of image processing technology, and in particular, and can solve the problem in the existing video image processing methods that real-time processing of a video image cannot be achieved due to large computational complexity. The video image includes multiple frames of image, and the method includes: obtaining a brightness characterization parameter representing image brightness for a current frame of image; obtaining a ratio of a brightness value of each input pixel in the current frame of image to the brightness characterization parameter; and obtaining a product of the ratio and a numerical value (M+1), wherein M is a maximum possible pixel brightness value of the current frame of image, and taking the product as a brightness value of an output pixel of the current frame of image. The invention can achieve contrast enhancement of a video image.