Title :
Nonparametric wavelet based texture synthesis
Author :
Gallagher, Claire ; Kokaram, Anil
Author_Institution :
Dept. of Electr. & Electron. Eng., Dublin Univ., Ireland
Abstract :
This paper presents a new algorithm for synthesising image texture. Texture synthesis is an important process in image post-production. Previous approaches can be classified as either parametric or nonparametric. Of these nonparametric approaches have achieved the most impressive results. Unfortunately, these methods generally suffer from high computational cost and difficulty in handling scale in the synthesis process. This paper introduces a new idea of using wavelet decomposition as a basis for nonparametric texture synthesis. The results show an order of magnitude improvement in computational speed and a better approximation of the dominant scale in the synthesised texture.
Keywords :
image texture; wavelet transforms; dominant scale approximation; image postproduction; image texture; magnitude improvement; nonparametric wavelet based texture synthesis; synthesis process; wavelet decomposition; Computational efficiency; Digital images; Educational institutions; Filling; Histograms; Image processing; Pixel; Probability density function; Production; Wavelet transforms; Complex Wavelet Transform; Image Processing; Nonparametric Image Modeling; Texture Synthesis;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530092