The effectiveness of histogram equalization on environmental model adaptation

Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

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Physical Nonlinear Model Adaptation in Long-Term Structural Health Monitoring: Proposals of Experimental Studies on a Reinforced Concrete Beam

IABSE Symposium Report ◽

10.2749/222137810796063562 ◽

2010 ◽

Vol 97 (8) ◽

pp. 32-38

Author(s):

Martina Schnellenbach-Held ◽

Bjoern Karczewski

Keyword(s):

Reinforced Concrete ◽

Structural Health Monitoring ◽

Nonlinear Model ◽

Health Monitoring ◽

Concrete Beam ◽

Experimental Studies ◽

Reinforced Concrete Beam ◽

Model Adaptation ◽

Structural Health

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PENERAPAN METODE CLAHE UNTUK MEMPERJELAS OBJEK PANTULAN KACA PADA CITRA DIGITAL

KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) ◽

10.30865/komik.v3i1.1563 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

Sulharmi Irawan ◽

Yasir Hasan ◽

Kennedi Tampubolon

Keyword(s):

Image Processing ◽

Computer Graphics ◽

Digital Image ◽

Histogram Equalization ◽

Image Objects ◽

Adaptive Histogram Equalization ◽

Image Displays ◽

Reflection Image

Glass reflection image displays unclear or suboptimal visuals, such as overlapping images that blend with overlapping displays, so objects in images that have information and should be able to be processed for advanced research in the field of image processing or computer graphics do not give the impression so that research can be done. Improvement of overlapping images can be separated by displaying one of the image objects, the method that can be used is the Contras Limited Adaptive Histogram Equalization (CLAHE) method. CLAHE can improve the color and appearance of objects that are not clear on the image. Images that experience cases such as glass reflection images can be increased in contrast values to separate or accentuate one of the objects contained in the image using the Contrast Limited Adaptive Histogram Equalization (CLAHE) method.Keywords: Digital Image, Glass Reflection, Contrast, CLAHE, YIQ.

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