Image Analysis: Focus on Texture Similarity
Thrasyvoulos N. Pappas, David L. Neuhoff, Huib de Ridder, Jana Zujovic · Proceedings of the IEEE · 2013
Texture is an important visual attribute both for human perception and image analysis systems. We review recently proposed texture similarity metrics and applications that critically depend on such metrics, with emphasis on image and video compression and content-based retrieval. Our focus is on natural textures and structural texture similarity metrics (STSIMs). We examine the relation of STSIMs to existing models of texture perception, texture analysis/synthesis, and texture segmentation. We emphasize the importance of signal characteristics and models of human perception, both for algorithm development and testing/validation.