Image Bloom Processing Reducing Gaussian Blur Computational Load
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Solution Overview
Problem
Current electronic devices with image bloom processing functions have high computational complexity and power consumption due to repeated Gaussian blur processing on various brightness regions in each frame of an image, leading to increased load and energy usage.
Innovation Solution
An image bloom processing method that determines if the brightness region classes between two consecutive images are the same, allowing for the reuse of Gaussian blur processing results from the previous image, thereby reducing the need for redundant processing and optimizing the bloom effect generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If Gaussian blur processing is performed multiple times on each frame of image to achieve bloom effect, then the bloom processing quality is improved, but the computational complexity and power consumption increase
Solution Approach 1:
The patent performs Gaussian blur processing on the first image in advance to obtain a blurred image, and then reuses this pre-processed blurred image when generating the bloom image for the second image. This preliminary action avoids redundant Gaussian blur processing in subsequent frames, thereby reducing computational complexity and power consumption while maintaining bloom processing quality.
2Reliability
If Gaussian blur processing is performed on each frame of image, then the bloom effect is maintained, but the processing time and computational load increase
Solution Approach 1:
The patent merges the processing workflows by combining the bloom image generation with the Gaussian blur processing of the first image. The blurred image obtained from processing the first image is integrated and reused in the second image's bloom processing, eliminating redundant operations and reducing total processing time while maintaining consistent bloom effects across frames.
3Manufacturing precision
If brightness filtering and Gaussian blur processing are performed on every image frame, then the bloom processing accuracy is improved, but the device load increases
Solution Approach 1:
The patent performs brightness filtering and Gaussian blur processing on the first image frame in advance, obtaining a pre-processed blurred image. This preliminary processing reduces the computational burden on subsequent frames, as the blurred image can be directly reused for bloom effect generation without repeating the computationally intensive filtering and blur operations, thereby reducing device load while maintaining processing accuracy.
Data Source
AI summary
This application discloses an image bloom processing method and apparatus, and a storage medium, and relates to the field of image processing technologies. An electronic device obtains a first brightness region class in a first image, where the first brightness region class includes one or more brightness regions in the first image; after determining that the first brightness region class in the first image is the same as a target brightness region class in a second image on which bloom processing is performed, the electronic device obtains a first intermediate image obtained after Gaussian blur processing is performed on the target brightness region class in the second image; and the electronic device generates a bloom image of the first image based on the first image and the first intermediate image.