access icon free Edge-guided with gradient-assisted depth up-sampling

Most of depth up-sampling algorithms are based on the consistent hypothesis, i.e. the object boundaries in the colour image are consistent with depth discontinuity regions in the depth map. However, the hypothesis is not always correct. Under the combined guidance of high-resolution (HR) depth edge map and HR colour image gradient map, a simple and efficient depth up-sampler is presented. Firstly, the consistent regions are distinguished from the other regions and more accurate depth edge points are found. Then, the initial up-sampled depth map from traditional bilinear interpolation is refined by an effective depth-assignment scheme. Extensive experiments demonstrate that the proposed method outperforms conventional interpolation algorithms and some other edge-based depth up-sampling methods.

Inspec keywords: image resolution; interpolation; image colour analysis; image sampling

Other keywords: depth discontinuity regions; bilinear interpolation algorithm; effective depth-assignment scheme; edge-guided map; high-resolution depth edge map; object boundaries; HR colour image gradient map; depth edge points; gradient-assisted depth up-sampling algorithm

Subjects: Computer vision and image processing techniques; Interpolation and function approximation (numerical analysis); Optical, image and video signal processing; Interpolation and function approximation (numerical analysis)

References

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http://iet.metastore.ingenta.com/content/journals/10.1049/el.2017.2297
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