How can image filtering techniques enhance image quality and remove noise?Review LaterImage filtering techniques replace pixel values to improve image quality.Image filtering techniques analyze the lighting conditions in an image.Image filtering techniques apply mathematical operations to neighboring pixels.Image filtering techniques adjust the resolution of an image to reduce noise.

To increase the contrast of the image           To reverse the blurring effect caused by the imaging system           To remove noise from the image           To enhance the edges in the image

Which of the following statements are True .A). Image Enhancement refers to the attenuation or sharpening of image features such as edges, boundaries or contract to make a graphic display more useful for display of analysis.B). Image enhancement increases the  dynamic range of the chosen feature, so that they can be detected easily.C) Image Enhancement includes gray   level and contrast manipulation, noise reduction, edge crispening, sharpening interpolation and magnification.

Describe the model of image degradation/ restoration process. State the various noise models

Explain how resolution affects digital picture quality.

the image smoothing using the frequency domain low pass filter(a) Ideal (b) Butterworth (c) Gaussian