Illustrations – Fundamentals of Digital Image Processing

Illustrations

 

 

FIGURE 2.1 Coordinates, conventions and image (The black and white figure is available here)

 

 

FIGURE 2.2 Image of Size 512 × 512 with N = 512 and m = 8, (b–e) images with N = 256,128, 64 and 32 and keeping m = 8 as constant (The black and white figure is available here) (Source: Signal and Image Processing Institute, University of California)

 

 

FIGURE 4.14 (a) Original Lena image (b) Histogram of original image (c) Histogram equalized Lena image (d) Histogram of equalized Lena image (The black and white figure is available here)

 

 

FIGURE 4.21 (a) Original image (b) Result of spatial HFF (c) Result of spatial LPF of size 3 × 3 (The black and white figure is available here)

 

 

FIGURE 4.32 Output of the program is here. (a) Original image (b) Result of gradient approach using Roberts' approach (c) Result of gradient approach using Perwitt approach (d) Result of gradient approach using Sobel approach (The black and white figure is available here)

 

 

FIGURE 4.35 (a) The original image (b) The result of applying low-pass Butterworth filter of order 1 (The black and white figure is available here)

 

 

FIGURE 4.37 Slicing the image at height h1 (The black and white figure is available here)

 

 

FIGURE 5.1 (a) Flowers arranged in a zig-zag way (b) Flowers arranged vertically in two rows (c) Histogram of (a) (d) Histogram of (b) (e) Autocorrelation coefficient along one line in the image given in (a) (f) Autocorrelation coefficient along one line in the image given in (b) (The black and white figure is available here)

 

 

FIGURE 7.2 Atmospheric turbulence model. (a) The original image (Source: Office of Geographic and Environmental Information (MassGIS), Commonwealth of Massachusetts Executive Office of Environmental Affairs) (b) Low turbulence image k = 0.00025 (c) Severe turbulence image k = 0.0025 (The black and white figure is available here)

 

 

FIGURE 7.4 (a) The original image (Source: MathWorks Inc., USA (MATHLab)) (b) The blurred image due to camera motion and added noise (c) Restored image using inverse filter (d) The restored image using Wiener filter (The black and white figure is available here)

 

 

FIGURE 7.6 (a) The original image (Source: MathWorks Inc., USA (MATLab)) (b) Image blurred with additive noise (c) Image restored by Inverse filter (d) Image restored by Constrained Least Square filter (The black and white figure is available here)