Runtime Pixel Format Transformation via Intermediate Formats
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The complexity of pixel data format transformations across different devices leads to a combinatorial explosion of required transformation modules, making it inefficient to build and maintain custom transforms, especially with conditional branching resulting in significant performance overhead.
Innovation Solution
The method involves determining a state of pixel format transformation at run-time, using an intermediate pixel format for lossless conversion between source and destination formats, and compiling software operations to perform transformations efficiently, reducing the number of modules needed and leveraging caching for reuse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If individual custom transforms are built for every possible format combination, then transformation performance is improved, but development and maintenance effort increases dramatically
Solution Approach 1:
The patent implements a universal pixel transformation module that can handle multiple pixel formats through runtime parameter configuration. Instead of creating separate dedicated modules for each format combination, a single modular framework is designed that adapts to different source and destination formats by selecting appropriate transformation logic at runtime, thereby reducing the number of modules from thousands to a manageable set while maintaining high performance
Solution Approach 2:
The transformation system uses dynamic parameter selection and conditional logic within the modular framework to adapt to different format combinations. The module can dynamically configure its behavior based on the specific source and destination formats requested, allowing it to optimize performance for each transformation type without requiring separate static modules for every possible combination
2Ease of manufacture
If a single module with conditional branching is used to handle all format transformations, then development effort is reduced, but processing performance deteriorates due to overhead and stalling
Solution Approach 1:
The patent segments the transformation logic into distinct functional components within the modular framework, where different transformation types (e.g., format conversion, color space conversion, modulation) are separated into independent modules. This allows the system to select and execute only the necessary transformation steps for each specific case, avoiding the performance penalty of universal conditional branching while maintaining ease of development through the organized module structure
Solution Approach 2:
The system performs preliminary classification and selection of the appropriate transformation module based on the source and destination format parameters before executing the actual transformation. This pre-selection mechanism avoids runtime conditional branching during the critical pixel processing loop, thereby maintaining high performance while keeping the development logic organized and manageable
3Adaptability or versatility
If multiple pixel transformation stages are added (scaling, bias, color matrix, lookup table), then transformation capability is improved, but the number of required modules increases exponentially
Solution Approach 1:
The patent merges multiple transformation stages (scaling, bias, color matrix, lookup table) into a single integrated modular framework. Instead of creating separate modules for each combination of transformation stages, the framework allows these operations to be composed and applied in sequence within a unified structure, reducing the combinatorial explosion of modules while maintaining full transformation capability across all stages
Data Source
AI summary
Methods, apparatuses, systems, and machine readable media for pixel transformations. One exemplary method includes: determining a state of a pixel format transformation, wherein a pixel format includes a predetermined number of pixel data components and a predetermined number of bits for each of the pixel data components and wherein the state includes a source pixel format and a destination pixel format and at least one intermediate pixel format; converting pixel data in the source pixel format to pixel data in the intermediate pixel format; and converting the pixel data in the intermediate pixel format to pixel data in the destination pixel format. In certain embodiments, a method includes building and compiling a function, at run-time, for the pixel format transformation based upon the state.