Efficient implementation schemes for image enhancement filters /
also tend to smear image edges. These shortcomings can be
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | also tend to smear image edges. These shortcomings can be and nonlinear filters. Depending on the criterion for and the Tag-based Trimmed Mean(TTM) filter have been any LNH filter operation bit serially. building block for a signal processing chipset. This mixed- editing the data, two LNH filtering techniques - the B filter Generalized median filtering techniques that have appeared in integrated in an area efficient manner to provide the basic Order Filter(ROF) algorithm. The ROF-RM filter are overcome by having Linear Nonlinear Hybrid (LNH) filtering presented. These two filtering techniques are based on Rank previous literature suffer from some severe disadvantages. signal chipset uses fast MVL-based adders and can implement techniques. The LNH filter performs better than both linear They are not only hardware intensive and time consuming but |
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| Item Description: | "Major subject: Electrical Engineering". Vita. |
| Physical Description: | x, 53 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references. |