2007
DOI: 10.1016/j.patrec.2007.03.021
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Improving quality of unwarped omni-images with irregularly-distributed unfilled pixels by a new edge-preserving interpolation technique

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Cited by 6 publications
(3 citation statements)
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“…However, as the application research of omni-directional imaging is further investigated, the problem of low and non-uniform resolution has obviously become the main obstacle of its generalization. Some resolution enhancement methods depending on post-processing are published in [1,2]. But, due to the low and non-uniform resolution of original sampled omni-images, the improvement is ________________________ very limited.…”
Section: Introductionmentioning
confidence: 99%
“…However, as the application research of omni-directional imaging is further investigated, the problem of low and non-uniform resolution has obviously become the main obstacle of its generalization. Some resolution enhancement methods depending on post-processing are published in [1,2]. But, due to the low and non-uniform resolution of original sampled omni-images, the improvement is ________________________ very limited.…”
Section: Introductionmentioning
confidence: 99%
“…In [7], by using a mapping [3], the bi-linear interpolation method is implemented on the omnidirectional image plane. In [9], the interpolation is carried out at perspective view and the blurring appearance of edges is taken into account. But the size of interpolation field is fixed.…”
Section: Introductionmentioning
confidence: 99%
“…It has been widely adopted in a variety of applications, such as resolution enhancement, image demosaicing, 1,2 and unwrapping omni-images. 3 The kinds of distortion and levels of degradation imposed on the interpolated image depend on the interpolation algorithm, as well as the prior knowledge of the original image. Two of the most common types of degradation are the zigzag errors ͑also known as the jaggies͒, and the blurring effects.…”
Section: Introductionmentioning
confidence: 99%