Research on Face Anti-Spoofing Algorithm Based on Image Fusion

Anti-spoofing, Face

Multimodal medical image fusion based on Yager’s intuitionistic fuzzy sets

The objective of image fusion for medical images is to combine multiple images obtained from various sources into a single image suitable for better diagnosis. Most of the state-of-the-art image fusing technique is based on nonfuzzy sets, and the fused image so obtained lags with complementary information. Intuitionistic fuzzy sets (IFS) are determined to be more suitable for civilian, and medi...

An Image Registration Algorithm Based on Digital Image Fusion

In this paper, an image registration algorithm based on both feature and intensity is proposed. Decomposing the source images with wavelet, corner points can be detected in the two approximate sub-images. The initial registration parameters can be achieved through affine transformation model, the coarse registration parameters can be obtained by the optical flow estimating and iterative refinin...

Face Fusion Recognition Based on Bit-Plane Image

Feature extraction is the main technology in the process of human face recognition system which is widely utilized as the mainstream approach in identity verification system. However, the traditional human face feature extraction algorithm of Eigenface has strict restraint on the light in the original human face image, posing as a hindrance in the practical application. Aiming at this problem, ...

Research on Remote Sensing Image Fusion Algorithm Based on Compressed Sensing

The traditional image fusion algorithm completed the fusion based on all pixel information. The time and space requirements are higher. The improved fusion algorithm used the theory of compressed sensing (CS) for the processing of remote sensing image fusion. Firstly, the source images using wavelet transform for sparse representation, then, the improved fusion algorithm used the observation ma...