Image Wipe Area Processing Using Boundary Pixel Projection
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Solution Overview
Problem
Existing image processing methods for adding virtual items to images are time-consuming and require high hardware performance, affecting the smooth operation of effect functions.
Innovation Solution
An image processing method that acquires a to-be-processed image, determines a wipe area, and sets replacement pixel values based on boundary pixel points to generate a completed image, thereby reducing computational time and hardware requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional image wipe and completion methods are used, then image processing accuracy is improved, but processing time increases and hardware performance requirements increase
Solution Approach 1:
The patent segments the image processing task by dividing the wipe area into multiple scan lines and processing them sequentially from top to bottom. Each scan line is processed independently using boundary pixel points from previously processed lines, which allows the system to maintain high processing accuracy while reducing the overall computational burden and processing time compared to traditional global image completion methods.
Solution Approach 2:
The patent applies preliminary action by first identifying and storing boundary pixel points along the edges of the wipe area before processing the interior pixels. These pre-identified boundary points serve as reference data for subsequent pixel value calculations, eliminating the need for complex real-time computations during the main processing phase and thereby reducing processing time while maintaining accuracy.
2Manufacturing precision
If traditional image wipe and completion methods are used, then image processing accuracy is improved, but hardware performance requirements increase
Solution Approach 1:
The patent reduces hardware performance requirements by segmenting the complex image completion task into simpler line-by-line processing operations. Each line is processed using only boundary pixel points from adjacent lines, which significantly reduces the computational power needed compared to traditional methods that require processing the entire image simultaneously with complex algorithms.
Solution Approach 2:
The patent uses boundary pixel points as templates or copies to determine the pixel values of interior points through simple interpolation and copying operations. Instead of performing complex computations for each interior pixel, the system copies and adapts values from boundary pixels, which dramatically reduces the computational load and hardware performance requirements while maintaining processing accuracy.
3Manufacturing precision
If pixel computation is performed on all pixels in the wipe area, then complete image restoration is achieved, but processing time increases
Solution Approach 1:
The patent extracts and utilizes only the essential boundary pixel points from the wipe area edges, removing the need to perform complex computations on all interior pixels. By taking out just the critical boundary information and using it to derive interior pixel values through simple interpolation, the system achieves complete image restoration while significantly improving content completion speed.
Solution Approach 2:
The patent applies partial action by processing only the necessary boundary pixels in detail and using those results to infer the values of interior pixels through simple mathematical relationships. This partial processing approach achieves sufficient image completion quality without the excessive computational effort of processing every pixel individually, thereby improving productivity while maintaining acceptable image restoration quality.
Data Source
AI summary
Embodiments of the present disclosure provide an image processing method, an apparatus, an electronic device and a storage medium. The method may includes: acquiring a to-be-processed image, and determining a wipe area of the to-be-processed image; acquiring a replacement pixel value corresponding to a target pixel point in the wipe area, wherein the replacement pixel value is determined based on a boundary pixel point corresponding to the target pixel point, and the boundary pixel point is a projection point of the target pixel point on an area boundary of the wipe area; and setting the corresponding target pixel point according to the replacement pixel value, so as to generate a completed image.