Abstract:
Image enhancement is a widely used technique to enhance the visual quality of images. However, this process introduces distortions and loss of detail in the images. In th...Show MoreMetadata
Abstract:
Image enhancement is a widely used technique to enhance the visual quality of images. However, this process introduces distortions and loss of detail in the images. In this article, we present a scheme that extracts the brightness and darkness features of an image in multiple scales. This extraction process is done by multiscale top-hat transform, which uses two structuring elements in the basic operations of mathematical morphology. Image enhancement consists of adding regions of brightness and removing regions of darkness from the original image. Tests were performed using 200 images from a public database. Our approach was compared with state-of-the-art algorithms to verify its relative performance. Experimental results show that our proposal improves images in terms of contrast, detail, preserves mean brightness and also introduces less distortion than the compared algorithms.
Date of Conference: 24-26 April 2019
Date Added to IEEE Xplore: 06 June 2019
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ISSN Information:
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- IEEE Keywords
- Index Terms
- Image Enhancement ,
- Detail Preservation ,
- Top-hat Transformation ,
- Relative Performance ,
- Bright Images ,
- Loss Of Details ,
- Mathematical Morphology ,
- Bright Features ,
- Mean Brightness ,
- Contrast Agent ,
- Image Contrast ,
- Digital Image Processing ,
- Morphological Operations ,
- Computer Vision Applications ,
- Histogram Equalization ,
- Low Distortion ,
- Square Of Size ,
- Multi-scale Strategy ,
- Average Brightness ,
- Enhancement Algorithm
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Image Enhancement ,
- Detail Preservation ,
- Top-hat Transformation ,
- Relative Performance ,
- Bright Images ,
- Loss Of Details ,
- Mathematical Morphology ,
- Bright Features ,
- Mean Brightness ,
- Contrast Agent ,
- Image Contrast ,
- Digital Image Processing ,
- Morphological Operations ,
- Computer Vision Applications ,
- Histogram Equalization ,
- Low Distortion ,
- Square Of Size ,
- Multi-scale Strategy ,
- Average Brightness ,
- Enhancement Algorithm
- Author Keywords