Composite RAW Image Parameter Determination for Multi-Exposure Capture
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Solution Overview
Problem
Conventional image capture apparatuses can only record image capturing information for the first image in the header of a composite image, making it impossible to determine appropriate developing parameters for subsequent images in multiple-exposure image capture, which limits the ability to find objects and compose images effectively.
Innovation Solution
An image capture apparatus that includes an image capture unit, an acquisition unit for developing parameters, an analysis unit for RAW image data, a composition unit to generate composite RAW image data, and a development unit that uses a composite developing parameter determined based on user settings or analysis results to develop the composite image, allowing for appropriate parameter setting across multiple exposures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only image capturing information of the first image is recorded in the header of composite image, then the device complexity is reduced, but the reliability of developing parameter determination deteriorates
Solution Approach 1:
The patent segments the developing parameter determination process into two parts: (1) recording only first-image information in the composite image header to maintain simplicity, and (2) separately storing image capturing information of all images in the memory. This segmentation allows the system to maintain low header complexity while ensuring reliable developing parameter determination through comprehensive information storage in memory.
Solution Approach 2:
The patent introduces memory as an intermediary storage medium. The memory stores image capturing information of all captured images, acting as a mediator between the simplified header (containing only first-image information) and the developing parameter determination process. This intermediary ensures that comprehensive information is available for reliable parameter determination without increasing header complexity.
2Measurement precision
If image capturing information of all images is stored, then the accuracy of developing parameter determination is improved, but the loss of information is reduced
Solution Approach 1:
The patent segments information storage into two locations: (1) header contains only first-image information to maintain simplicity, and (2) memory contains image capturing information of all images. This segmentation prevents information loss by ensuring comprehensive data is preserved in memory while keeping the header manageable.
Solution Approach 2:
The patent performs preliminary action by storing image capturing information of all images in memory immediately after capture, before composition occurs. This preliminary storage ensures that when developing parameter determination is needed, all necessary information is already available, preventing any information loss and enabling high precision determination.
3Adaptability or versatility
If multiple developing parameters are composed from multiple images, then the adaptability of image development is improved, but the device complexity increases
Solution Approach 1:
The patent implements dynamics by making the developing parameter composition process adaptive rather than fixed. The composition unit dynamically selects and composes developing parameters from multiple images based on the specific characteristics of each image and the composition requirements. This dynamic approach improves adaptability while managing complexity through automated selection algorithms.
Solution Approach 2:
The patent applies parameter changes by allowing the developing parameters to vary based on the source images. Instead of using a single fixed developing parameter, the system changes and composes multiple developing parameters from different images, each optimized for its source image characteristics. This parameter variation improves adaptability across diverse image types.
Data Source
AI summary
An image capture apparatus has an image capture unit to capture an object image, an acquisition unit to acquire a developing parameter for image data captured by the image capture unit, an analysis unit to analyze RAW image data generated by the image capture unit, an image composition unit to compose a plurality of RAW image data generated by the image capture unit and generate composite RAW image data, a composition ratio determination unit to determine a composition ratio for a plurality of developing parameters respectively for development of the plurality of RAW image data acquired by the acquisition unit, a parameter composition unit to compose the plurality of developing parameters and generate one composite developing parameter, and a development unit to develop the composite RAW image data using the composite developing parameter.