We demonstrate that phase accuracy is extremely important in image processing filters and express the hope that more work will be done on the development of filter design techniques which use phase as well as magnitude specifications.

Perguntar à IA

Bookmark

Perguntar à IA

Bookmark

Cite This Study

Huang et al. (Mon,) studied this question.

synapsesocial.com/papers/6a11c05d276e1b6925c90276 https://doi.org/https://doi.org/10.1109/tassp.1975.1162738

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Image Restoration by the Method of Least Squares1967 · 451 citations
2Synthesis of recursive digital filters using the minimum p-error criterion1972 · 273 citations
3On the assessment of optical images1955 · 189 citations
4On the Numerical Solution of Fredholm Integral Equations of the First Kind by the Inversion of the Linear System Produced by Quadrature1963 · 961 citations
5A Simplified Derivation of Linear Least Square Smoothing and Prediction Theory1950 · 280 citations

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Image Restoration by the Method of Least Squares1967 · 451 citations
2Synthesis of recursive digital filters using the minimum p-error criterion1972 · 273 citations
3On the assessment of optical images1955 · 189 citations
4On the Numerical Solution of Fredholm Integral Equations of the First Kind by the Inversion of the Linear System Produced by Quadrature1963 · 961 citations
5A Simplified Derivation of Linear Least Square Smoothing and Prediction Theory1950 · 280 citations

The importance of phase in image processing filters | Synapse