Design and Implementation of Medical MR Image Based on the Gray Interpolation Histogram Linearization
In order to solve the problems of blurred edges,unreasonable brightness and poor noise suppression of medical MR image,a gray interpolation histogram linearization algorithm is proposed.This method firstly linearizes the histogram of the medical MR image with mixed noise,so as to removing part of the noise and make the brightness reach a reasonable range,and then performs polynomial interpolation operation on the obtained results to eliminate the gray difference between pixel blocks and make the image clear.The simulation results show that the brightness,peak signail-to-noise ratio(PSNR)and struetural similarity index method(SSIM)of the image obtained by this algorithm are the largest,and the PSNR is about1.6～3.2 dB higher than other denoising methods,and the SSIM is about 5%～7%higher.This algorithm can effectively reduce the noise and keep the edge and detail information of medical MR image,and its effect is obviously better than that of adaptive histogram equalization and histogram local linearization.
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