Consider an image containing a left corner as shown below. What filter or filters can you use to detect this corner. Show how that would work. 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 0 0 0 0 10 10 10 10 0 0 0 0 10 10 10 10 0 0 0 0 10 10 10 10 0 0 0 0
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- For three objects, sorted from front to back with the colors C0 = 0.2, C1 = 0.8, C2 = 0.5 and the background color Cbg= 1(white). Compute the final pixel color by front to back and back to front compositing for the following alpha values α0=0.2, α1=0.4, α2=0.1. For the background, you can assume αbg = 1 (fully opaque). You can think of the background as a fourth layer.MFC. Consider the following pixel filter: def clamp(pixel): new_r = max(75, min(100, pixel[0])) new_g = max(75, min(100, pixel[1])) new_b = max(75, min(100, pixel[2])) return [new_r, new_g, new_b] What does this do to an individual pixel? What would happen to an image if we used it to edit all the pixels? What would an image look like after it has been edited?Computer Science For an image represented by a given large 3d numpy array, use numpy to get a neighborhood filter using the mean of the pixels. For example, look through each of the image’s 3×3 window of pixels and replace outlier pixels with the mean value of the others in the 3×3 window. Set the resulting pixel value to be the mean value of a pixel and its eight neighbors. For pixels on an edge, use the mean value of the pixel and its five neighbors. For pixels on corners, use the mean value of the pixel and its three neighbors. If you loop over every pixel then you must store your input and output arrays separately
- Suppose we have an input image f(x,y) shown below. 0 1 2 3 4 2 2 2 2 2 2 4 5 6 7 0 1 2 3 4 0 0 1 5 7 Plese compute the gradient at point (2,3) (Write ansewer in the first blank) (2,4) (Write answer in the second blank) (3,3) (Write ansewer in the third blank) (3,4) (Write answer in the fourth blank) using Sobel Operator. gradient (x,y) =|Gx|+|Gyl.It will simulate the diffusion of heatthrough a square metal plate. The plate starts off at 0 deg., but the 4 ×4 pixel square in the centeris kept at 100 deg.Now a cell in the interior has 4 neighbors: the upper, lower, left, and right neighbor. The updateformula for an interior point (other than the center square) is therefore given by:u′i,j = ui,j + k((ui,j+1 −ui,j ) + (ui,j−1 −ui,j ) + (ui−1,j −ui,j ) + (ui+1,j −ui,j ))= ui,j + k(ui,j+1 + ui,j−1 + ui−1,j + ui+1,j −4ui,j )The boundaries have to be updated separately using 8 different equations: 4 for each of the edges,and 4 for each corner. Here is the update formula for a cell on the top edge that is not on a corner:u′i,n−1 = ui,n−1 + k((ui,n−2 −ui,n−1) + (ui−1,n−1 −ui,n−1) + (ui+1,n−1 −ui,n−1))= ui,n−1 + k(ui,n−2 + ui−1,n−1 + ui+1,n−1 −3ui,n−1)Here is the update formula for a cell in the top left corner:u′0,n−1 = u0,n−1 + k((u0,n−2 −u0,n−1) + (u1,n−1 −u0,n−1))= u0,n−1 + k(u0,n−2 + u1,n−1 −2u0,n−1) Program:Please do not give solution in image format thanku What server responds first? Group of answer choices The first reply comes from 216.93.145.253 in Frame 46 The first reply comes from 216.93.145.247 in Frame 50 The first reply comes from 172.19.3.22 in Frame 52 The first reply comes from 172.19.3.6 in Frame 48
- """You are given an n x n 2D mat representing an image. Rotate the image by 90 degrees (clockwise). Follow up:Could you do this in-place?""" # clockwise rotate# first reverse up to down, then swap the symmetry# 1 2 3 7 8 9 7 4 1# 4 5 6 => 4 5 6 => 8 5 2# 7 8 9 1 2 3 9 6 3 def rotate(mat): if not mat: return mat mat.reverse() for i in range(len(mat)): for j in range(i): mat[i][j], mat[j][i] = mat[j][i], mat[i][j] return mat if __name__ == "__main__": mat = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] print(mat) rotate(mat) print(mat).Use a Bootstrap class to add rounded corners on the image. <img src="img_chania.jpg" alt="Chania" class=" ">Compared to an RGB color value of 50, the RGB color value of 150 would be... brighter. darker. less saturated. more saturated.
- Can I convert a 2D image into a 3D model using Google Sketchup's free version? In that case, how come? What other choices do we have then?Q1) 1-In image restoration process, the degraded image in frequency domain G(U,V) is defined as: G(U,V) = HU,V)F(U,V)+N(U,V) 1- Depict the degradation model 2-Ablur filter of 2x2 size has h(0,0) =8, h(1,0) =5, h(0,1) =7, h(1,1) =4 represents a motion blur of an object. For the location (0,0) of the blur filter, calculate the following: a- the discrete Fourier transform DFT at this location. b- calculate the magnitude, in frequency domain, for both the inverse filter and wiener filter at this location if §1 (0, 0)= 0.7 and Sx(0, 0)=0.01.The averaging filter removes the noise by blurring it till it is no longer seen. But in the process, it also blurs the edges (Bigger the averaging mask more is the blurring. There are times when the image contains salt and pepper noise If we use an averaging filter to remove the same, it will (blur the noise but it would also ruin the edges. In the same contrast explain what is meant by high pass filtering?( 50-60 words) Answer only if you are fully sure.other wise dislike.