DMCA
Dark Image Enhancement through Intensity Channel Division and Region Channels using Savitzky-Golay Filter
BibTeX
@MISC{Priyakanth_darkimage,
author = {R. Priyakanth and Santhi Malladi and Radha Abburi},
title = {Dark Image Enhancement through Intensity Channel Division and Region Channels using Savitzky-Golay Filter},
year = {}
}
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Abstract
Abstract — Principal objective of image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. The existing contrast enhancement algorithms such as local, global, partial, bright and dark contrast stretching, Adaptive HE techniques occasionally result in artifacts such as halo effects in sharp boundaries or noise effects and also over enhancement which results a spurious details of the image and unnatural effects in the processed images. These drawbacks increase for images taken under poor illumination conditions. To overcome these drawbacks we propose an algorithm that enhances dark images, sharpens edges, reveals details in textured regions, and preserves the smoothness of flat regions. In this paper we enhance the image contrast based on Intensity Channel Division and Region Channels. We analyze the contrast of the image in the boundary and textured regions, and group the information with common characteristics. These groups model the relations within the image, from which we extract the transformation functions. We propose to mix the channels with similar characteristics in to region channels. The proposed method is robust because it adapts its transformation function which is Savitzky Golay filtered, to the contents of the image, which avoids the introduction of errors in the image. The mixture of different region channels also increases the quality of the output because it allows a distinct enhancement for different parts of the image. This process avoids over enhancement problems in areas with normal dynamic ranges.
Keyphrases
region channel intensity channel division savitzky-golay filter dark image enhancement textured region transformation function different region channel enhancement problem specific application sharp boundary abstract principal objective savitzky golay halo effect distinct enhancement dark contrast stretching dark image different part normal dynamic range digital image enhancement technique reveals detail visual quality image contrast sharpens edge spurious detail noise effect processed image drawback increase poor illumination condition original image image enhancement unnatural effect common characteristic similar characteristic flat region contrast enhancement algorithm
