Image Processing Dynamic Range Correction for Seamless Boundary Blending
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Solution Overview
Problem
Existing image processing technologies face challenges in seamlessly merging two images by avoiding white or black defects and making the seam between them inconspicuous, especially when the dynamic range of one image is not compatible with the other.
Innovation Solution
An image processing apparatus with a dynamic-range correcting unit and a pasting unit that adjusts the dynamic range of the second image based on pixel information from the first image, ensuring seamless blending by calculating and applying compression rates to match the brightness and chrominance of the boundaries, and using difference-value calculations to smooth the transition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the dynamic range of the second image is compressed to match the first image, then the boundary becomes inconspicuous and seamless blending is achieved, but white or black defects may occur in the pasted image
Solution Approach 1:
The patent applies different compression rates to different regions of the second image based on local luminance characteristics. The correcting unit calculates compression rates specifically for boundary regions to achieve seamless blending, while preserving the quality of non-boundary regions to avoid defects. This localized approach allows dynamic range compression at boundaries without causing white or black defects in the entire image.
Solution Approach 2:
The patent performs preliminary correction of the luminance image before pasting the second image onto the first image. The correcting unit pre-calculates and applies compression rates to the luminance data, ensuring that boundary compatibility is established before the final composition. This preliminary action prevents defects by preparing the image data in advance with appropriate dynamic range adjustments.
2Manufacturing precision
If the dynamic range is not compressed, then the original image quality is preserved, but the boundary between the first and second images becomes conspicuous
Solution Approach 1:
The patent applies compression only to the luminance component at boundary regions rather than to the entire image or all components. This localized compression maintains the overall image quality and detail information while achieving seamless boundary blending. The chrominance information and non-boundary luminance regions remain uncompressed, preserving original image quality.
Solution Approach 2:
The patent changes the luminance parameter selectively by applying compression rates only to the luminance image data at boundary regions. The chrominance parameters and non-boundary luminance areas maintain their original values. This selective parameter change achieves boundary blending without degrading the overall image quality or losing important visual information.
3Manufacturing precision
If compression is applied to all regions of the second image, then boundary blending is improved, but unnecessary computational resources are consumed in regions where compression is not needed
Solution Approach 1:
The patent calculates and applies compression rates only to boundary regions of the second image where blending is needed, rather than processing the entire image. The correcting unit identifies boundary areas and applies compression selectively to these regions, significantly reducing computational resource consumption while maintaining effective boundary blending quality.
Solution Approach 2:
The patent applies compression only to the extent necessary for boundary blending - specifically to the luminance component at boundary regions. This partial action approach avoids the excessive computation that would result from compressing the entire image or all image components, optimizing computational efficiency while achieving the required blending quality.
Data Source
AI summary
An image processing apparatus includes a correcting unit and a pasting unit. The correcting unit corrects a dynamic range of a second image in accordance with pixel information of a region. The second image is pasted on a first image serving as a destination for pasting. The region is in the first image and is to be in contact with the second image. The pasting unit pastes the second image on the first image after the correction of the dynamic range. The second image has pixel information. The pixel information is corrected in such a manner that a boundary with the first image is inconspicuously viewed.