18558550. Display-Optimized HDR Video Contrast Adapation simplified abstract (KONINKLIJKE PHILIPS N.V.)
Contents
Display-Optimized HDR Video Contrast Adapation
Organization Name
Inventor(s)
Display-Optimized HDR Video Contrast Adapation - A simplified explanation of the abstract
This abstract first appeared for US patent application 18558550 titled 'Display-Optimized HDR Video Contrast Adapation
The patent application proposes a method to process input images to obtain better watchable images for different viewing environment light levels.
- Input images have pixels with luminances within a first dynamic range with a maximum luminance.
- Reference luminance mapping function specifies the relationship between luminances of two reference images with different maximum luminances.
- The output image has a lower maximum luminance than the input image.
- An adapted luminance mapping function is calculated based on an adjusted maximum luminance value.
- The adjusted maximum luminance value is determined by the surround illumination value and relative surround light level.
- Key Features and Innovation:**
- Processing method for obtaining better watchable images in different light levels.
- Reference luminance mapping function to adjust luminances based on different reference images.
- Adapted luminance mapping function calculated for optimal output luminances.
- Adjusted maximum luminance value determined by surround illumination and relative surround light level.
- Overall enhancement of image quality for various viewing environments.
- Potential Applications:**
- Television and display technology for improved image quality.
- Photography and video production for better visual results.
- Virtual reality and augmented reality applications for enhanced user experience.
- Medical imaging for clearer and more accurate diagnostics.
- Security and surveillance systems for improved image clarity.
- Problems Solved:**
- Addressing the challenge of optimizing image quality for different light levels.
- Providing a method to adjust luminances for better visibility in various viewing environments.
- Enhancing the overall viewing experience by improving image quality.
- Ensuring consistent and optimal image output across different devices and platforms.
- Adapting images to specific lighting conditions for maximum visibility and clarity.
- Benefits:**
- Improved image quality for better viewing experiences.
- Enhanced visibility and clarity in different light levels.
- Consistent and optimized image output across various devices.
- Better adaptation to specific viewing environments for maximum impact.
- Overall enhancement of visual content for various applications.
- Commercial Applications:**
- Display technology for televisions, monitors, and projectors.
- Photography and videography equipment for professional use.
- Virtual reality and augmented reality devices for immersive experiences.
- Medical imaging systems for accurate diagnostics.
- Security and surveillance cameras for clear image capture.
- Questions about the Technology:**
1. How does the method proposed in the patent application improve image quality in different light levels? 2. What are the specific advantages of using a reference luminance mapping function in image processing?
Original Abstract Submitted
To obtain in a pragmatic manner better watchable images for various potentially considerably different viewing environment light levels, the inventor proposes a method of processing an input image to obtain an output image, wherein the input image has pixels which have input luminances which fall within a first luminance dynamic range (DR_1), which first luminance dynamic range has a first maximum luminance (PL_V_HDR), wherein a reference luminance mapping function (F_L) is received as metadata associated with the input image, wherein the reference luminance mapping function specifies a relationship between luminances of a first reference image and luminances of a second reference image, wherein the first reference image has a first reference maximum luminance and the second reference image has a second reference maximum luminance (PL_V_SDR), wherein the input image is equal to the first reference image, wherein the output image is not equal to the first reference image nor the second reference image; wherein the output image has an output maximum luminance (PL_V_MDR) which is lower than the first maximum luminance; wherein the processing comprises determining an adapted luminance mapping function (FL_DA) which is based on the reference luminance mapping function (F_L), and applying the adapted luminance mapping function (FL_DA) to the input pixel luminances, to obtain output luminances, characterized in that the adapted luminance mapping function (FL_DA) is calculated based on an adjusted maximum luminance value (PL_V_CO), wherein the calculation of the adapted luminance mapping function (FL DA) involves finding a position (pos) on a metric of maximum luminances (SM), which position corresponds to the adjusted maximum luminance value (PL_V_CO), wherein a first endpoint of the metric corresponds to the first maximum luminance (PL_V_HDR) and a second endpoint of the metric corresponds to second reference maximum luminance (PL_V_SDR) of the second reference image, wherein the first endpoint of the metric is collocated, for any normalized input luma (Yn CCO), on a point on a diagonal which has its horizontal and vertical coordinate equal to that normalized input luma, wherein the second endpoint is collocated with an output value of the reference luminance mapping function (F_L); wherein the adjusted maximum luminance value (PL_V_CO) is determined by: obtaining a surround illumination value (Lx sur); obtaining a relative surround light level (SurMult) by dividing a reference illumination value (GenVwLx) by the surround illumination value (Lx sur); obtaining the adjusted maximum luminance value (PL_V_CO) as the result of multiplying the output maximum luminance (PL_V_MDR) by the relative surround light level (SurMult).
