Pixel Transform Matrix for Artifact-Free Rendering
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Solution Overview
Problem
Existing image rendering methods often result in artifacts and loss of detail when objects are rendered at coarse resolution and then sampled to a finer resolution, or when perspective spatial operations are combined with other image processing operations, leading to suboptimal quality and performance in image editing applications.
Innovation Solution
The method involves embedding perspective spatial transform operations within a pixel transform matrix, which is used to generate pixel data, allowing for the definition of a coordinate system and subsequent rendering of objects without the need for resampling, thereby maintaining detail and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an object is rendered at a coarse resolution and then sampled to a finer resolution, then the rendering process can be faster and less resource-intensive, but the rendered object lacks detail and displays noticeable aliasing artifacts
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing a supersampled version of the object at a higher resolution than needed for final display. This pre-computed high-resolution data is then used during rendering to provide detailed information without requiring expensive real-time supersampling operations, thus achieving both speed and quality.
2Adaptability or versatility
If a series of perspective spatial operations are combined with other image processing operations, then the rendering pipeline can be more versatile and handle complex transformations, but the sequence of operations causes artifacts when the object has to be first rendered and then resampled
Solution Approach 1:
The patent merges multiple operations including perspective spatial transformations and image processing operations into a unified rendering approach. By combining these operations and using supersampled data throughout the pipeline, the system avoids intermediate resampling steps that would otherwise cause artifacts, maintaining both versatility and rendering accuracy.
3Adaptability or versatility
If resampling is performed to change resolution, then the output image can be adjusted to different sizes, but data is lost and artifacts are introduced
Solution Approach 1:
The patent pre-computes and stores a supersampled version of the input image with higher resolution than any anticipated output. This preliminary high-resolution data repository allows the system to generate outputs at various resolutions without performing lossy resampling operations, as the needed detail is already present in the supersampled data.
4Device complexity
If traditional rendering methods are used with separate render and sample passes, then the rendering pipeline is simpler to implement, but the quality of the final image deteriorates due to aliasing and detail loss
Solution Approach 1:
The patent merges the render and sample passes into a unified rendering process that operates on supersampled data. By combining these operations and eliminating the need for separate resampling passes, the system maintains pipeline simplicity while dramatically improving image quality through the use of high-resolution supersampled input data throughout the rendering process.
Data Source
AI summary
Some embodiments of the invention provide a method for performing a set of operations on an object defined in an image coordinate system to produce a representation of the image defined in a pixel coordinate system. The set of operations include one or more perspective transform operations. The method embeds at least one these perspective transform operations within a pixel transform matrix. The method then uses the pixel transform matrix to produce pixel data in the pixel coordinate system for the object.