Fuzzy relations among pixel luminances are simple and effective tools for the processing of digital images. This chapter shows how fuzzy relations can be adopted in the design of a complete image enhancement systems and successfully address conflicting tasks such as detail sharpening and noise cancellation. For this purpose, the different behaviors of fuzzy relation-based high-pass filters and noise smoothers are explained along with the effects of different parameter settings. Results of computer simulations show that fuzzy relation-based processing is an effective resource for the sharpening of noisy images and is easy to use.
Design of Fuzzy Relation-Based Image Sharpeners
RUSSO, FABRIZIO
2011-01-01
Abstract
Fuzzy relations among pixel luminances are simple and effective tools for the processing of digital images. This chapter shows how fuzzy relations can be adopted in the design of a complete image enhancement systems and successfully address conflicting tasks such as detail sharpening and noise cancellation. For this purpose, the different behaviors of fuzzy relation-based high-pass filters and noise smoothers are explained along with the effects of different parameter settings. Results of computer simulations show that fuzzy relation-based processing is an effective resource for the sharpening of noisy images and is easy to use.| File | Dimensione | Formato | |
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