Rotating JPEG Decompression via Segmented Block Processing
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Solution Overview
Problem
Current printers and Multi-Function Peripherals face challenges in printing digital photos with rotation due to the complexities of the JPEG compression algorithm, which requires significant memory and causes delays, as they need to decompress images fully to rotate them, leading to high memory requirements and reduced image quality.
Innovation Solution
The system rotates images as an integral part of the decompression process, using pre-scanning to create context data structures that allow for decompression in the required sequence for printing, reducing memory needs and minimizing delays by maintaining parts of the image in compressed form and decompressing only what is needed for each step.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the image is fully decompressed to rotate it, then the rotation can be performed, but the memory requirements increase significantly
Solution Approach 1:
The patent divides the image into multiple blocks that can be processed independently. Instead of decompressing the entire image at once, the system decompresses and processes individual blocks in sequence, allowing rotation to be performed on smaller data units that require less memory. This segmentation enables the system to handle image rotation with reduced memory footprint while maintaining the ability to produce the complete rotated image.
Solution Approach 2:
The patent performs preliminary decompression of image blocks to extract only the necessary data needed for rotation, rather than fully decompressing the entire image beforehand. By pre-processing the compressed data to extract essential information in a structured format, the system prepares the data for rotation operations without requiring full image decompression, thereby reducing peak memory requirements.
2Manufacturing precision
If the image is fully decompressed before printing, then the image quality is maintained, but the processing time increases
Solution Approach 1:
The patent segments the image processing into multiple independent blocks that can be decompressed and printed in sequence. This allows the system to maintain high image quality by properly decompressing each block while avoiding the need to hold the entire decompressed image in memory simultaneously. The segmented approach enables parallel processing of different blocks, reducing overall processing time while preserving image quality through proper decompression of each segment.
Solution Approach 2:
The patent implements continuous processing where blocks are decompressed, rotated, and printed in an ongoing sequence without idle waiting periods. The system maintains a continuous workflow by preparing the next block for processing while previous blocks are being printed, eliminating gaps in the useful action. This continuous processing approach reduces total processing time while ensuring each block receives the full decompression treatment needed for quality output.
3Manufacturing precision
If the entire image is decompressed and stored in memory, then rotation can be performed accurately, but the system memory requirements increase
Solution Approach 1:
The patent divides the image into multiple smaller blocks that can be processed independently for rotation. Each block is decompressed and rotated separately with sufficient precision, then the rotated blocks are reassembled to form the complete rotated image. This segmentation approach maintains rotation accuracy by ensuring each block receives proper rotational transformation while requiring only a fraction of the memory that would be needed to hold the entire decompressed image simultaneously.
Solution Approach 2:
The patent applies different processing quality levels to different parts of the image based on local requirements. Each image block is processed with the necessary decompression and rotation operations to achieve accurate local results, while the overall system memory usage remains low because only local blocks are fully processed at any given time. This local quality approach ensures rotation accuracy is maintained in each region without requiring global image decompression.
Data Source
AI summary
A novel system (method and apparatus) for printing compressed digital images with rotation, wherein the image is rotated as an integral part of the decompression process. Furthermore, the system is configured so that selected sections of the image can be printing even as other sections of the image are still being processed. As a result, the new approach reduces system memory requirements, avoids reductions in image quality and minimizes printing delays.