Selective Pixel-Range Image Processing for Lower Compute Load
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Solution Overview
Problem
Current image processing methods that utilize the full color range consume excessive computing resources, necessitating a more efficient approach to optimize image processing while maintaining quality.
Innovation Solution
A method and device that selectively process pixels within specific ranges based on application requirements, performing image processing operations on these pixels and smoothly merging them with the unprocessed image to generate a processed image, thereby reducing computational demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full color range processing is applied to image processing operations, then image quality is maintained, but computing resources are excessively consumed
Solution Approach 1:
The patent segments the color range into multiple specific ranges (e.g., first color range, second color range, third color range) and processes only the necessary segments based on application requirements. This segmentation allows the system to avoid processing the entire color range while maintaining image quality in the relevant color regions, thereby reducing computing resource consumption.
Solution Approach 2:
The patent applies local quality by processing different color ranges with different levels of processing intensity or applying processing only to specific color ranges that require enhancement. For example, noise reduction may be applied only to specific color ranges rather than the full color range, maintaining image quality where needed while saving computing resources in regions where full processing is unnecessary.
2Use of energy by moving object
If selective processing of specific pixel ranges is performed, then computing resources are saved, but image continuity and natural appearance may be compromised
Solution Approach 1:
The patent merges the processed pixels (from specific color ranges) with the unprocessed pixels (from remaining color ranges) to generate the final processed image. This merging operation ensures that the selectively processed regions are seamlessly integrated with the unprocessed regions, maintaining image continuity and natural appearance while still achieving computing resource savings through selective processing.
3Measurement precision
If complex image processing operations are applied to enhance image quality, then image quality is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by performing image processing operations only on specific color ranges rather than the full color range. This partial processing approach maintains image quality in the relevant color regions while significantly reducing processing time compared to applying complex operations to the entire image, thus resolving the contradiction between image quality enhancement and processing time.
Data Source
AI summary
A method for optimizing image processing is provided. The method is implemented by a processor of a device and includes receiving at least one unprocessed image. The method includes extracting pixels whose pixel values are within one or several specific ranges from the at least one unprocessed image based on application requirements. The method includes performing an image processing operation corresponding to the application requirements on the pixels. The method includes smoothly merging the pixels with the at least one unprocessed image to generate a processed image. The method includes outputting the processed image.