Dynamic Video Histogram Generation for Luminance Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing histogram methods in image processing fail to accurately and comprehensively reflect image quality features, particularly in dynamic videos, leading to inadequate representation of luminance distribution and misjudgment of average pixel luminance.
Innovation Solution
A method for acquiring a histogram that involves expanding the luminance range by adjusting the minimum and maximum luminance values, performing frequency statistics, and removing edge cases to create a more comprehensive histogram, along with dynamic luminance adjustment using stretching curves to enhance image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing histogram method is used to collect and statistic luminance data, then the histogram can be generated, but it cannot accurately and comprehensively reflect image quality features
Solution Approach 1:
The patent segments the luminance data processing into distinct stages: first collecting all luminance data, then determining extreme values (max and min), and finally performing statistics on the remaining data within the main distribution range. This segmentation allows the histogram to reflect both the overall luminance distribution and the main concentration area, improving measurement precision while preserving information about extreme values.
Solution Approach 2:
The patent extracts and separately handles the extreme luminance values (maximum and minimum) from the main data set. By taking out these edge cases and processing them separately, the method ensures that both the extreme values and the main distribution are accurately represented in the histogram, thereby comprehensively reflecting image quality features.
2Measurement precision
If the luminance range is expanded by adjusting minimum and maximum luminance values, then the histogram representation is improved, but additional calculation and processing are required
Solution Approach 1:
The patent performs preliminary action by first collecting all luminance data and determining the maximum and minimum values before performing the main statistics. This preliminary processing establishes the luminance range and identifies extreme values, which simplifies the subsequent statistics process and makes the expanded luminance range method more efficient despite the additional initial steps.
Data Source
Figure 1~2
Figure 3~4
Figure 5~6
AI summary
The present invention discloses a method for acquiring a histogram, wherein the method for acquiring a histogram includes the following steps: acquiring luminance data of pixel points of a dynamic video image; and performing separate statistical processing on frequencies of first luminance data with the minimum luminance value and second luminance data with the maximum luminance value in the luminance data, to draw a first histogram corresponding to the luminance data after the statistical processing. The present invention further discloses a method for dynamically adjusting luminance and an image processing apparatus. The present invention can embody features of image quality more accurately and more comprehensively.