Evaluation of Image Warping Algorithms for Implementation in FPGA
The target of this master thesis is to evaluate the Image Warping technique and propose a possible design for an implementation in FPGA. The Image Warping is widely used in the image processing for image correction and rectification. A DSP is a usual choice for implantation of the image processing algorithms, but to decrease a cost of the target system it was proposed to use an FPGA for implementation. In this work a different Image Warping methods was evaluated in terms of performance, produced image quality, complexity and design size. Also, considering that it is not only Image Warping algorithm which will be implemented on the target system, it was important to estimate a possible memory bandwidth used by the proposed design. The evaluation was done by implemented a C-model of the proposed design with a finite datapath to simulate hardware implementation as close as possible.
Summary
This master's thesis evaluates several image warping techniques and assesses their suitability for FPGA implementation, with a focus on image correction and rectification. It presents comparative results on image quality, performance, algorithmic complexity and memory bandwidth estimates, and outlines a C-model–based path toward an FPGA design.
Key Takeaways
- Compare common warping/interpolation methods (e.g., nearest, bilinear, bicubic, spline) by image quality and implementation cost.
- Estimate memory bandwidth and propose buffering strategies required to meet real-time throughput on FPGA.
- Assess algorithmic complexity and map expected resource usage (LUTs, BRAM, DSP slices) and timing trade-offs.
- Propose a C-model verification flow and practical steps to translate the algorithm into an HDL/pipeline suitable for FPGA.
- Quantify trade-offs between interpolation quality, latency, and hardware footprint to guide architecture decisions.
Who Should Read This
FPGA and embedded-systems engineers, image-processing algorithm developers, and graduate students planning or evaluating real-time image-warping implementations on FPGA.
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