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Figure 6 Flowchart of the proposed edge adaptive color demosaicking algorithm.
Fig. 11 (a) Edge map obtained by the proposed edge operators.
The edges can be obtained based on the proposed edge detection technique.
The proposed edge detector has a mathematical form of local variance and is adaptive in nature.
The proposed edge matching method is performed in linear time and it is effective considering both accuracy and speed together.
The proposed edge adaptive demosaicking method improved the overall image quality in terms of consistent edge directions around the edges.
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We present in Section 3 the proposed edge-based Gabor face representation approach.
First, we tested the effectiveness of the proposed edge-response vectors in video partitioning, without consideration for adaptation.
The basic idea of the proposed edge-based Gabor face representation approach is aimed at mitigating the intra-subject variations induced by plastic surgery procedures.
Kau and Lin [17] proposed edge-look-ahead (ELA) scheme using least square prediction with efficient edge detector to maximize the edge-directed characteristics.
In Section 2, we describe the proposed edge-based sparse disparity estimation algorithm and the similarity metrics used including the novel CGO.
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Justyna Jupowicz-Kozak
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