Composite HDR Image Generation with Selective Pixel Transfer

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing image processing systems face challenges in efficiently generating high dynamic range (HDR) images, leading to increased computational resources such as power, bandwidth, and time consumption due to the transfer of entire image frames with different exposures.

Innovation Solution

The system captures an anchor image using 3A image-capture settings and a non-anchor image with different exposure settings. It transfers only a downscaled version of the non-anchor image along with the entire anchor image, reducing computational resources by minimizing data transfer.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the entire non-anchor image is transferred for HDR generation, then image quality is maintained, but computational resources (power, bandwidth, time) are increased

Engineering Contradiction:
Improveimage qualityVSAvoidcomputational resources
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent extracts only the necessary portion of the non-anchor image (pixels that differ from the anchor image) and transfers only that extracted data for HDR generation. This eliminates the need to transfer the entire image frame, thereby reducing bandwidth consumption and computational resources while maintaining the quality of the final HDR image.

Inventive Principle:
Principle #2Taking out (Extraction)

2Reliability

If the entire non-anchor image is transferred for HDR generation, then complete image data is available for processing, but data transfer time and bandwidth consumption are increased

Engineering Contradiction:
Improvedata completenessVSAvoiddata transfer time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system identifies and extracts only the relevant pixel data from the non-anchor image that requires processing for HDR generation. By transferring only this extracted subset rather than the complete image, the data transfer time is reduced while the necessary data completeness for reliable HDR processing is maintained.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If full-resolution non-anchor image is processed, then processing accuracy is maintained, but processing requirements and power consumption are increased

Engineering Contradiction:
Improveprocessing accuracyVSAvoidprocessing power
Core Design Contradiction:
Measurement precisionVSPower

Solution Approach 1:

The patent extracts only the specific pixel regions from the non-anchor image that need to be processed for HDR generation, rather than processing the entire full-resolution image. This extraction approach maintains processing accuracy for the relevant areas while significantly reducing the overall processing power requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the non-anchor image processing task by identifying and separating the specific pixel regions that require HDR processing from the rest of the image. This segmentation allows the system to process only the necessary portions at full resolution while handling other areas more efficiently, thereby reducing total processing power consumption.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS20250292378A1Generating composite images
Publication Date: 2025.09.18 QUALCOMM INC
  • US20250292378A1 patent drawing
  • US20250292378A1 patent drawing
  • US20250292378A1 patent drawing

AI summary

Systems and techniques are described herein for generating image data. For instance, a method for generating image data is provided. The method may include obtaining a first image captured according to first image-capture settings; determining second image-capture settings related to the first image-capture settings; obtaining a second image captured according to the second image-capture settings; determining a mask indicative of pixels of the first image that are overexposed or underexposed; adjusting luma values of the pixels of the first image based on luma values of corresponding pixels of the second image; and adjusting chroma values of the pixels of the first image based on chroma values of the corresponding pixels of the second image.