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Scale-invariant feature transform (SIFT) operator is a widely used algorithm to detect local features in images, yet applying this algorithm for motion-blurred image matching is difficult and inefficient. To resolve this issue, this study presents a motion-blurred invariant SIFT algorithm that is based on sample matching in an image deformation reconstructed space. First, the motion-blurred equation...
As a challenging problem, image haze removal plays an important role in computer vision applications. The dark channel prior has been widely studied for haze removal since it is simple and effective; however, it still suffers from oversaturation, artefacts and dark-look. To resolve these problems, this study proposes a method of single image haze removal using content-adaptive dark channel and post...
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