Howtosignalprocessing
- Which is better spatial or frequency domain?
- Why frequency domain filtering is preferred over spatial domain?
- Which operator is used to extract the most appropriate location of an edge when there is gradual change in intensity levels?
- Why We Need frequency domain techniques in image processing?
Which is better spatial or frequency domain?
Difference between spatial domain and frequency domain
In spatial domain, we deal with images as it is. The value of the pixels of the image change with respect to scene. Whereas in frequency domain, we deal with the rate at which the pixel values are changing in spatial domain.
Why frequency domain filtering is preferred over spatial domain?
The reason for doing the filtering in the frequency domain is generally because it is computationally faster to perform two 2D Fourier transforms and a filter multiply than to perform a convolution in the image (spatial) domain. This is particularly so as the filter size increases.
Which operator is used to extract the most appropriate location of an edge when there is gradual change in intensity levels?
The sobel operator is very similar to Prewitt operator. It is also a derivate mask and is used for edge detection. Like Prewitt operator sobel operator is also used to detect two kinds of edges in an image: Vertical direction.
Why We Need frequency domain techniques in image processing?
Frequency domain gives you control over the whole images, where you can enhance(eg edges) and suppress (eg smooth shadow) different characteristics of the image very easily. Frequency domain has a established suit of processes and tools that be borrowed directly from signal processing in other domains.
