Abstract
Sequentially convolving images with small size operators is a promising idea for performing image filtering. Various classes of two-dimensional finite impulse response (FIR) filters that can be implemented with such techniques are studied. Design procedures are presented for each of the classes. They are based upon minimizing L2 and L∝criteria. Results are assessed in an image processing context. © 1982, IEEE. All rights reserved.
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CITATION STYLE
APA
Abramatic, J. F., & Faugeras, O. D. (1982). Sequential Convolution Techniques for Image Filtering. IEEE Transactions on Acoustics, Speech, and Signal Processing, 30(1), 1–10. https://doi.org/10.1109/TASSP.1982.1163840
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