Image Fusion Algorithm of Focal Region Detection and TAM-SCM Based on SHT Domain

Xibei Gongye Daxue Xuebao

关键词: image fusion;    shearlet transform;    spatial frequency;    gradient energy;    laplacian energy;    focus arear detection;    difference image;   

DOI  :  10.1051/jnwpu/20193710114

来源: DOAJ

【 摘 要 】

The selection of texture information and block ringing effect in multi-focus fusion process, a new multi-focus image fusion algorithm based on Three Activity Measures (TAM) excitation Spiking Cortical Model, (SCM) in shearlet (SHT) domain is proposed. Firstly, in SHT domain, using local spatial frequency (SF), local energy of gradient (EOG) and different measurements (SF, EOG, and local laplace energy sum (SML)) motivated SCM selected the texture information and construct the initial fusion image (P). Then, the focal region was extracted from the significant feature of the difference between the image P and the original image. Finally, the joint focus area produces fusion images. To verify the superiority of the proposed algorithm, compare the results of this paper with seven competing methods. Experimental results show that the algorithm can produce clear edges, good visual perception and less distortion.

【 授权许可】

Unknown