Smoothing and sharpening are two fundamental image processing operations. The latter is
usually related to the former through the unsharp masking algorithm. In this paper, we …

Cost aggregation is one of the key steps in the stereo matching problem. In order to improve
aggregation accuracy, we propose a cost-aggregation method that can embed minimum …

In this paper, we propose a single image deblurring algorithm to remove spatially variant
defocus blur based on the estimated blur map. Firstly, we estimate the blur map from a …

When different target surfaces, in three-dimensional space, are mapped onto an image
plane, they have different projections. These projections vary with the viewpoint. These local …

30% of women and 13% of men worldwide suffer from osteoporotic bone fractures
worldwide. In large hospitals, doctors need to visually inspect a large number of X-ray …

Cost aggregation is a key step in stereo matching algorithms. Despite more than a decade of
development, most algorithms still encounter challenges such as high error rates in low …

The minimum spanning tree (MST) stereo‐matching method is an information‐infiltration
process. The difference in edge attributes of an MST can cause the edge‐expansion …

Depth information is useful in many image processing applications. However, since taking a
picture is a process of projection of a 3D scene onto a 2D imaging sensor, the depth …

Stereo cameras are now commonly available on cars and mobile phones. However, the
captured images may suffer from low image quality under noisy conditions, producing …

We present a vision‐based algorithm that identifies the boundary separating water from land
in a river environment containing specular reflections. Our approach relies on the law of …