Panoramic Image Mosaics Using Local Wavelet-Features
Feng Guo, Ying Wang · 2016
In this paper, an efficient method based on local wavelet-features is proposed for Panoramic Image Mosaics. Wavelet can describe a wide variety of image characteristics and a key component for in image-related applications. For the feature-extraction stage, we exploit wavelet-subband statistics to construct local feature vectors for image-patch representation. Experimental results show that the local wavelet-features are able to produce plausible panoramic images.