Rasterized Image Rotation via Tile Buffer Segmentation
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Solution Overview
Problem
Conventional display systems face inefficiencies when rotating landscape-oriented image data to portrait orientation due to their frame buffer configuration, requiring extensive conversion efforts to access and rearrange pixel data.
Innovation Solution
A method and system that involve accessing each buffer line of a first frame buffer to obtain pixel data, storing it in separate tile buffers, and simultaneously accessing these buffers to reorganize the data into a second frame buffer, allowing for efficient rotation of rasterized image data from landscape to portrait orientation by rearranging pixel tiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional frame buffer configuration is used for landscape mode display, then landscape orientation display is efficient, but portrait orientation display requires extensive data conversion and rearrangement
Solution Approach 1:
The frame buffer is divided into multiple tile buffers, each storing pixel data for a specific region. This segmentation allows independent access and manipulation of different pixel regions, enabling efficient rotation by processing only the necessary portions rather than the entire buffer
Solution Approach 2:
The patent introduces an additional dimension by creating separate tile buffers that can be accessed simultaneously from different spatial locations. This allows the system to rotate image data by transposing it across multiple buffers rather than sequentially accessing the same buffer multiple times
2Ease of operation
If landscape-oriented frame buffer is accessed buffer line by buffer line, then sequential access is simple, but vertical access for portrait orientation requires numerous sequential accesses
Solution Approach 1:
Pixel data is pre-distributed into separate tile buffers during the initial buffer line access. This preliminary organization of data into tile buffers enables subsequent simultaneous access for rotation without requiring repeated sequential scans through the original buffer
Solution Approach 2:
Tile buffers serve as intermediary storage structures between the original frame buffer and the final rotated output. These intermediaries allow data to be rearranged efficiently by accessing multiple sources simultaneously rather than sequentially
3Adaptability or versatility
If conventional image rotation technique is used, then orientation conversion is achieved, but multiple sequential buffer line accesses are required
Solution Approach 1:
Multiple buffer line accesses are merged into a single operation by distributing pixel data across tile buffers that can be accessed simultaneously. This combining of access operations reduces the total number of sequential operations needed while maintaining the same rotation functionality
Solution Approach 2:
The rotation process maintains continuous useful action by simultaneously accessing multiple tile buffers in parallel rather than completing one buffer line access before starting the next. This parallel processing continues the rotation operation without idle sequential steps
Data Source
AI summary
A method includes logically organizing rasterized image data into a first matrix of pixel tiles and individually rotating each pixel tile so as to generate a corresponding pixel tile of a second matrix representing an orthogonal representation of the first matrix. Each pixel tile represents a set of buffer lines of a frame buffer storing rasterized image data. The pixel tile is rotated by accessing and storing each buffer line of pixel data in a set of tile buffers such that the pixel data for each pixel in the same column position of an adjacent row is stored in a different tile buffer so that the set of tile buffers can be individually accessed to obtain pixel data for a set of pixels in the same column position in adjacent rows. This obtained pixel data is written to a second frame buffer as a row of pixel data for the corresponding pixel tile of the second matrix.