Luminance-Based Image Stretching for 3D Dynamic Media
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Solution Overview
Problem
Existing methods for converting two-dimensional static images into three-dimensional dynamic images require high professional competency and are inefficient, resulting in low-quality special effects that are unsatisfactory for common users.
Innovation Solution
A method that determines luminance of pixels in a base image, calculates visual stretching information based on pixel luminance, and generates multiple frames of target images to create dynamic media with enhanced pixel stretching effects, improving picture quality and realism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing methods are used to convert two-dimensional static images into three-dimensional dynamic images, then the conversion can be achieved, but the process requires high professional competency and is inefficient
Solution Approach 1:
The system automatically determines pixel luminance and calculates stretching amounts without requiring manual professional intervention. The processing device autonomously completes the entire conversion process from static image to dynamic media, eliminating the need for high professional competency while maintaining efficient conversion.
Solution Approach 2:
The method changes the parameter of pixel stretching amount based on luminance calculations. By automatically adjusting stretching parameters according to calculated luminance values, the system achieves efficient conversion without requiring professional manual adjustment, thus improving productivity while reducing operation difficulty.
2Manufacturing precision
If existing methods are used for image conversion, then the basic conversion is possible, but the special effects quality is low and unsatisfactory
Solution Approach 1:
The system applies different stretching amounts to different pixels based on their individual luminance values. This local quality approach ensures that each pixel is processed according to its specific characteristics, resulting in high-quality special effects that match the original image's lighting and tonal properties while maintaining processing efficiency.
Solution Approach 2:
The method replaces manual mechanical adjustment with automated computational processing. By using algorithms to calculate luminance and determine stretching amounts, the system achieves high-quality special effects through computational precision rather than manual skill, thereby improving both quality and efficiency.
3Ease of operation
If manual processing is used to create dynamic media, then control over special effects is possible, but the process is time-consuming and inefficient
Solution Approach 1:
The system uses feedback from luminance calculations to automatically adjust stretching parameters. The processing device continuously calculates luminance values and uses this feedback to determine appropriate stretching amounts, achieving both flexible control and time efficiency by eliminating the need for iterative manual adjustments.
Solution Approach 2:
The method performs preliminary calculations of luminance and stretching amounts before generating the final dynamic media. This preliminary action allows the system to prepare all necessary parameters in advance, reducing processing time while maintaining full control flexibility over the special effects.
Data Source
AI summary
The present disclosure provides a media processing method, a device, an apparatus, and a medium, a specific embodiment of the method includes: obtaining a base image, and determining luminance of a pixel in the base image; determining visual stretching information based on the luminance of the pixel, wherein the visual stretching information includes stretching amount of the pixel at a plurality of different time points, and at a same time point, stretching amount of the pixel is associated with the luminance of the pixel; and based on the visual stretching information and the base image, obtaining a plurality of frames of target images for generating dynamic media.