The paper presents two methods that improve gradient estimation in 3D voxel space. The gradient estimation is
an important step in the rendering and shading process to obtain realistic and smooth final images of visualized
objects. The most used gradient estimation methods, gray-level gradient methods, Z-buffer gradient methods and
binary gradient methods in some cases produce artifacts that appear as dark areas and staircase structures in a
final image. To deal with the problem, two new methods for gradient estimation are suggested, the reverse
gradient method and the angle difference method. The new methods were tested and compared with other
gradient estimation methods. Measurements, which have been made on both the data and image levels, have
shown that both developed methods improve the quality of volume data rendering
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