filtering2 4.1 Filtering vs Convolution In this class, we will learn about Filtering vs Convolution. ● Filters We have learned Box, Gaussian, Sobel, Laplace filters. Let's compare Filtering and Convolution. There is a difference between filtering and convolution. Filter flipped vertically and horizontally. ● Derivative Theorem of Convolution ① Commutative - can move stuff around ② Associative - can regroup things ③ Distributes over ad.. 2020. 8. 5. 2.0 Image Filtering In this class, we will learn about 'Image 'Filtering'. ● Image What is an image? An image is an array of numbers. Color images is made up of 3 colors, Red, Green, Blue. And actual intensity values per pixel is 0-255. ● 2D function It is helpful to think of an image as a 2D function. So, what is the range of f(x)? For example, 8-bit image would have 256 values. What kind of image transformations .. 2020. 8. 3. 이전 1 다음
