A comparison study of four texture synthesis algorithms on regular and near-regular textures

In this report, we compare the performance of four texture synthesis algorithms on synthesizing regular and near-regular textures. Our results show that near-regular texture synthesis remains a challenging problem. This is because a near-regular texture demonstrates both global regularity and local randomness in its texture pattern. It is difficult to preserve both properties in the synthetic textures. The comparison indicates that a specially-designed texture synthesis algorithm that respects the nature of near-regular textures can produce more faithfully synthesized textures than general purpose state of the art synthesis algorithms.