Homomorphic Filtering Approach for Eliminating Multiplicative Noise in a Monochromatic Based Images
| Autor: | Rejan L. Tadeo, Neil P. Balba, Marygin E. Sarmiento, Arman Bernard G. Santos, Marmelo V. Abante |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Logarithm
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Filter (signal processing) Multiplicative noise Digital image Homomorphic filtering Transmission (telecommunications) Computer Science::Computer Vision and Pattern Recognition Frequency domain Digital image processing Computer vision Artificial intelligence business |
| Zdroj: | 2021 International Conference on Intelligent Technologies (CONIT). |
| DOI: | 10.1109/conit51480.2021.9498471 |
| Popis: | Digital image processing has led to a more significant contributions in the meadow of computing science ranging from image enhancement, restoration, detection down to image analysis used in both scientific and medical field. Digital image processing perhaps being used to enhance images with a multiplicative noise or an unwanted signals during capture or transmission via mobile device or camera. Filtering, specifically Homomorphic Filtering is one of the digital image processing technique for processing of both convolved and nonlinearly related signals from an image. With a use of homomorphic filtering through illumination-reflectance model, an image appearance can be improved usually by range compression and contrast enhancement in a frequency domain. However, the main approach of this study is to separate illumination from reflectance component by considering logarithm and applying fourier transform and inverse exponential operations yielding to a better yet enhanced image. Homomorphic filter considered as a generalized technique for image enhancement has proven to be most effective filtering technique in the vast field of digital processing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|