Image Edge Detection Algorithm Based on Interpolation Wavelet Decomposition

2017 Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)   unpublished
In digital image processing, classic wavelet algorithm often has difficulties in obtaining accurate wavelet coefficients by using continuous integral formula. Hence, clear and accurate edges of images cannot be detected in the classic wavelet algorithm. To deal with this problem, a new algorithm is proposed to detect image edges with sparse representation of interpolation wavelets. By utilizing the special property that image pixel values can be considered as interpolation wavelet coefficients,
more » ... velet coefficients, interpolation dual filter is combined with Mallat pyramidal algorithm in this algorithm. Theoretical analysis and experimental results demonstrate that this algorithm can avoid integral formula for obtaining wavelet coefficients. Thus, compared to the classic one, a better edge result can be detected for the new algorithm.
doi:10.2991/eeeis-17.2017.54 fatcat:aeizs45crnayvlq7qzp2sfrtdy