Halftoning Coprocessor Parallel Processing Error Diffusion
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Solution Overview
Problem
Existing error diffusion halftoning techniques are computationally intensive and require significant memory, making them unsuitable for stand-alone systems with limited resources, such as next-generation printers and mobile devices, which need to process images and videos in real time.
Innovation Solution
The implementation of a high-performance, low-complexity halftoning coprocessor that utilizes data and functional parallelism, reduces memory accesses, and employs a Floyd-Steinberg filter to accelerate the error diffusion process, allowing for real-time processing of color halftoning in embedded systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional error diffusion halftoning is implemented, then halftoning quality is improved, but computational complexity and memory requirements increase significantly
Solution Approach 1:
The patent segments the error diffusion computation into parallel processing units that operate simultaneously on different pixel groups. By dividing the image processing into independent parallel tasks, the computational complexity is distributed across multiple units, maintaining halftoning quality while reducing the burden on individual processing elements.
Solution Approach 2:
The patent transitions from sequential pixel processing to parallel processing by adding a spatial dimension to the computation. Multiple processing units handle different regions or color planes simultaneously, effectively moving from one-dimensional sequential processing to multi-dimensional parallel processing, thereby reducing overall computational complexity.
2Manufacturing precision
If traditional error diffusion halftoning is implemented, then halftoning quality is improved, but memory usage increases
Solution Approach 1:
The patent extracts and eliminates redundant memory operations from the traditional error diffusion algorithm. By carefully managing which error values need to be stored and when, the implementation removes unnecessary memory allocations while preserving the essential error diffusion functionality that ensures halftoning quality.
Solution Approach 2:
The patent implements selective discarding of error values that are no longer needed for computation, and recovers only the essential error information required for maintaining halftoning quality. This approach reduces memory usage by eliminating storage of redundant data while preserving the critical error diffusion effects.
3Manufacturing precision
If traditional error diffusion halftoning is implemented, then color accuracy is improved, but processing speed decreases
Solution Approach 1:
The patent segments the color processing into parallel channels that can be processed simultaneously. By dividing the color accuracy computations across multiple parallel processing units, each unit can maintain precise color calculations while the overall system achieves faster processing through concurrent execution of these segmented tasks.
Solution Approach 2:
The patent performs preliminary computations of error values and color transformations in advance, before they are strictly needed for final pixel determination. This allows processing units to be better prepared and reduces critical path delays, thereby improving processing speed while maintaining color accuracy through pre-computed intermediate results.
Data Source
AI summary
An apparatus and method are provided to accelerate error diffusion for color halftoning for embedded applications. High performance is achieved by utilizing functional parallelism within the halftoning error diffusion process, including exploiting data parallelism in different color planes, reducing the number of memory accesses to the error buffer, accelerating the computation by using a parallel instruction set, and improving the throughput of the system by implementing pipelined architecture. A halftoning coprocessor architecture can implement the foregoing. The architecture can be optimized for high performance, low complexity and small footprint. The coprocessor can be incorporated into embedded systems to accelerate the performance of error diffusion halftoning therein.