Color Image Enhancement based on Base and Detail Layers Decomposition by Several Filters
Date Issued
2012
Date
2012
Author(s)
Chu, Wen-Hui
Abstract
In the past decades, color image enhancement has been a popular topic, and whose goal is to improve the visual quality of the original image. We use filters to implement the application because of filtering is arguably the most important operation in image processing. Particularly, edge-preserving smoothing filters are a fundamental building block for several applications. We utilize four kinds of edge-preserving smoothing filters to obtain the base layers, which are blurred but still retain their edges. They are bilateral filter, guided filter, filters based on domain transform, and L_0 smoothing filter. Using base layers to produce detail layers, and enhancing images by processing base layers and detail layers.
Photos contain well-structured visual information. In human visual perception, edges are vital for neural interpretation to make the sense of the scene. We decompose base layer and detail layer, and separate edges and details. Therefore, we can process them independently and do not have effect to each other.
In this thesis, we introduce the four kinds of edge-preserving smoothing filters and implement color images enhancement based on them. In the end, we compare the experimental results of the four filters.
Subjects
Edge-preserving filter
base layer
detail layer
image enhancement
Type
thesis
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