Composite Image Calibration via Inversion and Merging
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Solution Overview
Problem
Existing electronic devices face challenges in generating composite images with natural brightness and white balance when synthesizing raw images, as they often require separate calibration of each image, which is time-consuming and inefficient.
Innovation Solution
An electronic device with a processor and memory that receives user input to synthesize partial regions of raw images, modify attributes, and calibrate the composite image using a third attribute, thereby generating a composite image without the need for separate calibration of individual raw images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If separate calibration of each raw image is performed before synthesis, then brightness and white balance of individual images are optimized, but the entire composite image becomes unnatural and time-consuming
Solution Approach 1:
Instead of calibrating each raw image separately before synthesis (traditional approach), the patent inverts the process by first synthesizing the composite raw image from multiple uncalibrated raw images, then performing a single calibration operation on the composite image. This reversal eliminates the need for multiple separate calibration operations while maintaining natural brightness and white balance in the final composite image.
Solution Approach 2:
The patent merges the calibration operations for multiple individual raw images into a single calibration operation applied to the composite image. By combining all raw images first and then applying one calibration process to the synthesized composite, the system achieves the same calibration quality as separate operations but with significantly reduced processing time and computational overhead.
2Reliability
If separate calibration of each raw image is performed, then individual image attributes are optimized, but the process becomes complex and time-consuming
Solution Approach 1:
The patent combines multiple separate calibration processes into a single unified calibration operation applied to the composite image. This merging reduces process complexity by eliminating the need to manage multiple calibration operations, while still achieving reliable and accurate image attributes in the final composite through the unified calibration process.
3Manufacturing precision
If cloud system synthesizes calibrated images, then individual image quality is maintained, but overall composite image brightness and white balance become unnatural
Solution Approach 1:
The patent inverts the traditional workflow by performing synthesis before calibration. Instead of calibrating individual images then synthesizing them (which causes brightness and white balance mismatches), the system synthesizes the composite raw image first from uncalibrated inputs, then applies a single calibration operation to the composite. This ensures all regions share consistent brightness and white balance while maintaining overall image quality.
Data Source
AI summary
An electronic device, a method and a storage medium are disclosed. The electronic device includes a processor and a memory operatively coupled to the processor. The processor is configured to receive a user input from an external electronic device. The processor is also configured to synthesize a first region that is a first partial region of a first raw image and a second partial region of a second raw image based on the user input to generate a composite raw image. The processor is further configured to modify at least one of a first attribute of the first raw image and a second attribute of the second raw image to generate a third attribute. Additionally, the processor is configured to calibrate the composite raw image using the third attribute to generate a composite image.