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Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

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Space-Time Domain Expansion Approach to VLSI and Its Application to Hierarchical Scene Matching.

H D Cheng¹, W C Lin, K S Fu

¹School of Electrical Engineering, Purdue University, West Lafayette, IN 47907.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This study introduces a systematic method for transforming recursive computation tasks into efficient Very Large Scale Integration (VLSI) structures. The approach simplifies the design of high-performance VLSI systems for complex computations like Fast Fourier Transform (FFT) and hierarchical scene matching.

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Area of Science:

Computer Engineering
VLSI Design
Image Processing

Background:

Very Large Scale Integration (VLSI) technology offers high performance and reliability, crucial for modern computing.
Systematic design of VLSI structures for specific computational tasks is a significant challenge for computer engineers.
Recursive computations are common in various applications, necessitating efficient hardware implementations.

Purpose of the Study:

To present a systematic method for transforming recursive computation tasks into VLSI structures.
To demonstrate the simplicity and completeness of the proposed transformation approach.
To apply the method to complex problems such as hierarchical scene matching.

Main Methods:

Developed a systematic procedure to convert recursive algorithms into VLSI architectures.
Illustrated the transformation process with examples including vector inner product, matrix multiplication, convolution, relational database operations, and Fast Fourier Transformation (FFT).
Detailed the VLSI implementation for hierarchical scene matching, including constant threshold estimation.

Main Results:

The proposed method provides a straightforward and comprehensive way to design VLSI structures for recursive computations.
Successful application of the method to diverse computational tasks, validating its versatility.
Demonstrated a practical VLSI implementation for hierarchical scene matching.

Conclusions:

The presented method offers a robust solution for designing efficient VLSI implementations of recursive computations.
The approach is applicable to a wide range of algorithms, enhancing VLSI design capabilities.
The work contributes to the systematic design of specialized hardware for image processing tasks like hierarchical scene matching.