This paper first introduces the concept of the data fusion technology,then explains several methods of the pixel level image fusion technology in common use,including PCA transform,HIS transform,HPF transform,artificial neural networks,image pyramids,wavelet transform,etc.
The method combines the information in frames with optical flow. It is composed of three steps:preprocessing,temporal differencing and Lucas-Kanade optical flow based on pyramid construction. The experimental results have shown that the algorithm works well for small moving target detection in real image sequences.
The results showed that the contrast information of fused images can be enhanced and the speckle noise frequently incurred in the rate-of-low-pass pyramid method can be avoided at the same time. Its extra computational load is not significant,so the method is suitable for use in some real-time fusion fields.
Image content authentication technique based on Laplacian Pyramid
This paper proposes a technique of image content authentication based on the Laplacian Pyramid to verify the authenticity of image content.
First, the image is decomposed into Laplacian Pyramid before the transformation.
Next, the smooth and detail properties of the original image are analyzed according to the Laplacian Pyramid, and the properties are classified and encoded to get the corresponding characteristic values.
A new artifact called 3D-step-gauge consisting of a pyramid array and a compound, is proposed to calculate geometrical errors for machine tools.