Competent Impulse Noise Removal Algorithm for Medical Images Using Non-Local Means Filter and LOG Filter

Impulse noise is a complication in all medical images. In this, the paper best method is proposed to suppress high-density impulse noise[IN]. Removal of noise is major work while working with various image. In order to restore the corrupted pixels, an impulse detector is applied first. The detecting device will verify the noisy pixels in impulse noise. Then the Non-local means filter and LoG filter is applied. Non- local means filtering and LoG filtering method is the most suitable denoising technique for medical images. The experimental results show the image quality and change in PSNR by using the algorithm. With this denoising of a medical image is performed.