Noise is introduced when capturing the image or transmitting the image. Noise means random variation of intensity level. Some additional information is added to the pixels and makes the noisy image. The pixel which is shown in the image is not the correct pixel some extraneous value is added to the true pixel value it degrades the quality of the image it also degrades the ability of the human observation of some diagnostic problem. There are many factors to introduce the noise in the image. Generally noise is of two types’ additive noise and multiplicative nose. Some other classifications are available through the image processing filed such as additive, multiplicative and impulse (random) noise. Impulse noise is one the type of noise which modifies the pixel values randomly. This type of noise can be classified into two categories such as static and dynamic (random). This paper deals with the performance analysis of various filtering technique which is to remove/reduce the impulse noise from the image. The performances metric are like MSE, SNR, and PSNR etc.