Degradation Image Restoration Simulation for Visual Communication Optimization
Generally,atmospheric turbulence and external noise interference can cause image degradation,affecting the quality of the image.Therefore,this paper proposed a multi-frame degraded image restoration algorithm considering the visual communication effect.Before the image restoration,an image degradation model was constructed to clarify the degradation rules.Then,wavelet transform was used to denoise multiple-frame degraded images.Mean-while,wavefront images caused by atmospheric turbulence were calculated.According to the phase deviation,a Zernike wavefront image reconstruction model was generated.After multiple iterations,the wavefront reconstruction of PDF was completed.Moreover,an iterative formula for multi-frame degraded image restoration was generated based on a cost function.Finally,based on the decision conditions,the multi-frame degraded image restoration was achieved.Experimental results prove that the proposed algorithm has better restoration effects and high restoration ef-ficiency,as well as excellent denoising effects.
Visual communication effectMulti-frame degraded imageImage restorationImage denoisingImage degradation model
NETL
NSTL
万方数据
维普
