ANALISIS PENGARUH CITRA GELAP TERHADAP KINERJA METODE HIGH BOOST FILTERING DAN ADAPTIVE HISTOGRAM EQUALIZATION

Abstract

The Images taken with a digital camera at night with minimal lighting will produce a dark image and it is difficult
to recognize objects in it. The image results obtained appear black and the details in the image are not clearly
visible. In such conditions, it is necessary to improve the image (image enhancement) which aims to get the image
display with a better form of visualization. This study aims to examine the effect of dark images on the performance
of the High boost Filtering method and the Adaptive Histogram Equalization method in improving image quality,
especially the types of dark images taken from smartphone cameras at night so that they can provide solutions in
the form of applications and information on how to improve image quality on dark images so that detailed image
information can be seen visually. The test results using three dark images in bitmap format (*.bmp) taken from a
smartphone camera at night with different lighting affect the performance of the High boost Filtering and Adaptive
Histogram Equalization in improving image quality, meaning that it gets darker. Image object then the result is
also not good and vice versa. The best results use the High boost Filtering method. The High boost Filtering
methods produces an image histogram that is evenly distributed so that detailed image information can be seen
visually.