Image Projection Rendering With Depth-Aware Distortion and Edge Blending
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing multimedia editing software lacks the ability to create diverse and realistic image projection effects, particularly in the field of image processing, and the ability to generate realistic image processing, and the ability to generate realistic image projection effects, and the ability to generate realistic image processing, and the ability to generate realistic image projection effects.
Innovation Solution
An image processing method and apparatus that involves obtaining a first image and a second image, determining distortion information based on the first image, generating a mixed image, obtaining target edge information, and generating a target image based on the mixed image and edge information, using Gaussian blurring and light color adjustments to create a realistic projection effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simple image overlay is used to project material onto first image, then processing speed is fast, but projection effect is unrealistic and lacks visual authenticity
Solution Approach 1:
The patent segments the projection effect into multiple processing stages: obtaining the first image and material, generating the second image with projection material, mixing the first and second images to create a mixed image, and generating the final target image with projection effects. This segmentation allows complex realistic effects to be achieved through manageable sequential steps.
Solution Approach 2:
The patent performs preliminary actions by obtaining depth information and edge information of the first image before generating the final projection effect. These pre-computed information layers are then used to guide the mixing and rendering processes, enabling realistic depth-aware projection without recalculating during final rendering.
2Reliability
If uniform distortion is applied to all regions, then processing is simple, but projection effect does not match depth variations in the image
Solution Approach 1:
The patent applies local quality by using depth information to determine region-specific distortion parameters. Different regions of the image receive different distortion treatments based on their depth values, allowing the projection material to conform to the three-dimensional structure of the underlying image rather than applying uniform distortion across the entire image.
3Reliability
If edge details are preserved without processing, then image sharpness is maintained, but projection effect lacks smooth transitions and visual blending
Solution Approach 1:
The patent changes the edge parameter by applying Gaussian blurring to the edge information of the first image. This transforms the edge characteristics from sharp discontinuities to smooth gradients, enabling realistic blending between the projection material and the underlying image while preserving the essential edge structure for accurate positioning.
Data Source
AI summary
Embodiments of the present disclosure relate to an image processing method and apparatus, a device, and a medium. The method includes: obtaining a first image and a second image, where the second image is an image obtained based on a material to be projected onto the first image; determining distortion information corresponding to pixels in the second image based on the first image, and generating a mixed image based on the first image, the second image, and the distortion information; obtaining target edge information of the mixed image; and generating a target image based on the mixed image and the target edge information. The embodiments of the present disclosure can achieve a realistic effect of projecting the material onto the first image, that is, can provide a user with a realistic projection effect, which is conductive to meeting a need of the user for effects.