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carried out on an image with noise. So removing noise is absolutely necessary for image. In this paper we compare various filtering algorithms like spatial domain filters, Frequency domain filters, Edge-Preserving filters (Bilateral filters), and guided image filtering algorithms based in terms of quality measurement.
Abstract—In this paper, we propose a novel explicit image filter called guided filter. Derived from a local linear model, the guided filter computes the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The guided filter can be used as an
Dec 21, 2017 Full-text (PDF) | In this paper, we propose a novel explicit image filter called guided filter. Derived from a local linear model, the guided filter computes the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The gui
In this paper we propose a novel explicit image filter called guided filter. Derived from a local linear model, the guided filter computes the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The guided filter can be used as an edge-preserving
Dec 19, 2017 Full-text (PDF) | It is known that local filtering based edge-preserving smoothing techniques suffer from halo artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating an edge-aware weighting into an existing guided image filter (GIF) to address the problem. T
Abstract. In this paper, we propose a novel type of explicit image fil- ter - guided filter. Derived from a local linear model, the guided filter generates the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The guided filter can perform as an
Jun 27, 2016 Alternating guided image filtering. Alexander Toet. TNO, Soesterberg, The Netherlands. ABSTRACT. Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear
This paper presents a linear time fully connected guided filter by introducing the minimum spanning tree (MST) to the guided filter (GF). Since the intensity based filtering ker- nel of GF is apt to overly smooth edges and the fixed-shape local box support region adopted by GF is not geometric- adaptive, our filter introduces an
Oct 2, 2012 In this paper, we propose a novel explicit image filter called guided filter. Derived from a local linear model, the guided filter computes the filtering o.
Abstract—In this paper, we propose a novel explicit image filter called guided filter. Derived from a local linear model, the guided filter computes the filtering output by considering the content of a guidance image, which can be the input image itself or another different image. The guided filter can be used as an

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March 2018