Automatic Gamma Curve Setting for Medical Display Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Medical monitors struggle to accurately display composite images containing both grayscale and color data, as existing calibration methods either distort grayscale images or reduce color accuracy, leading to potential diagnostic errors due to inability to select between DICOM and Gamma 2.2 curves for mixed image types.
Innovation Solution
An automatic Gamma curve setting method that determines whether an input image is grayscale, color, or composite, adjusting the Gamma curve and color temperature accordingly to ensure accurate representation, using a system with an image input unit, processing unit, and output unit to classify and calibrate images in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single calibration method (DICOM or Gamma 2.2) is applied to composite images, then one image type (grayscale or color) is displayed accurately, but the other image type becomes distorted with lost details or color errors
Solution Approach 1:
The patent segments the composite image into grayscale regions and color regions based on pixel characteristics. By detecting whether pixels are grayscale (where R=G=B) or color (where at least two of R, G, B differ), the system applies different calibration methods to different segments of the same image, thereby maintaining accuracy for both image types simultaneously
Solution Approach 2:
The patent dynamically switches calibration methods based on the detected image content. The system automatically determines whether each pixel region requires DICOM calibration (for grayscale medical images) or Gamma 2.2 calibration (for color images), and adjusts the calibration curve in real-time to match the image type being displayed
2Measurement precision
If multiple monitors with different characteristics are used to display different image types, then accurate display of both grayscale and color images is achieved, but device complexity and space requirements increase
Solution Approach 1:
The patent makes a single monitor capable of performing multiple calibration functions. By implementing automatic detection of image types and dynamic switching between DICOM and Gamma 2.2 calibration curves, one monitor can accurately display both grayscale medical images and color images, replacing the need for separate specialized monitors
3Illumination intensity
If Gamma 2.2 curve is applied to grayscale images, then color images display with good contrast, but grayscale images become too bright and lose dark details
Solution Approach 1:
The patent creates separate calibration curves for different image types. For grayscale regions, it applies the DICOM calibration curve which preserves dark details, while for color regions, it applies the Gamma 2.2 curve which provides better contrast. This copying of appropriate calibration characteristics to different image segments prevents information loss
4Illumination intensity
If DICOM curve is applied to color images, then grayscale images display with proper brightness, but color images become too dark with reduced contrast and color accuracy
Solution Approach 1:
The patent applies different quality characteristics to different parts of the image. Color regions receive Gamma 2.2 calibration which enhances contrast and color accuracy, while grayscale regions receive DICOM calibration which maintains proper brightness. This local differentiation of calibration quality ensures each image type displays its optimal characteristics
Data Source
AI summary
An automatic gamma curve setting method for the display is provided, which can automatically detect the input image as a grayscale image or a color image, and classify the input image as a grayscale image or a color image according to the image value, and automatically perform the corresponding Gamma curve to provide a diagnostic platform for the user to make a correct judgment through the correct image presentation.