A NOVEL PROCESSOR ARCHITECTURE IMPLEMENTING THE STACKED ERROR DIFFUSION ALGORITHM AND ITS ZYNQ-BASED REALIZATION

Digital halftoning reproduces continuous-tone images using patterns of black and white dots, while multitoning extends this concept by incorporating inks with intermediate intensities. These techniques are extensively utilized in the printing industry to accommodate the limited range of inks available in printers. Stacked error diffusion is a high-quality multitoning algorithm that adheres to the blue-noise dithering standard. This thesis research studies the potential parallelism inherent in the algorithm and introduces the design of a novel processor architecture optimized for efficient execution. The architecture is realized on an FPGA development board featuring a Zynq SoC. Additionally, the hardware prototype can also run a software implementation of the algorithm, leveraging the ARM CPU within the SoC. Test results confirmed both the functional correctness of the processor architecture and its substantial acceleration capability.

Publication Details

Journal
UKnowledge (University of Kentucky)
Published
2024-12-06
DOI
https://doi.org/10.13023/etd.2024.426
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
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article

A NOVEL PROCESSOR ARCHITECTURE IMPLEMENTING THE STACKED ERROR DIFFUSION ALGORITHM AND ITS ZYNQ-BASED REALIZATION

UKnowledge (University of Kentucky)
Color Science and Applications
article

A NOVEL PROCESSOR ARCHITECTURE IMPLEMENTING THE STACKED ERROR DIFFUSION ALGORITHM AND ITS ZYNQ-BASED REALIZATION

article en

Abstract

Digital halftoning reproduces continuous-tone images using patterns of black and white dots, while multitoning extends this concept by incorporating inks with intermediate intensities. These techniques are extensively utilized in the printing industry to accommodate the limited range of inks available in printers. Stacked error diffusion is a high-quality multitoning algorithm that adheres to the blue-noise dithering standard. This thesis research studies the potential parallelism inherent in the algorithm and introduces the design of a novel processor architecture optimized for efficient execution. The architecture is realized on an FPGA development board featuring a Zynq SoC. Additionally, the hardware prototype can also run a software implementation of the algorithm, leveraging the ARM CPU within the SoC. Test results confirmed both the functional correctness of the processor architecture and its substantial acceleration capability.

UKnowledge (University of Kentucky)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Color Science and Applications
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