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1 Image Display MATLAB functions for displaying image Bit Planes Spatial resolution Quantization Dithering.

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Presentation on theme: "1 Image Display MATLAB functions for displaying image Bit Planes Spatial resolution Quantization Dithering."— Presentation transcript:

1 1 Image Display MATLAB functions for displaying image Bit Planes Spatial resolution Quantization Dithering

2 2 MATLAB Functions Command: image –display matrix as image –default: use current color map to assign color Command: imshow –display uint8 matrix as image –for double matrix, display in the range of [0,1]

3 3 MATLAB: image Function Require mapping to display grayscale images No mapping required for true color images Commands to add after image : –truesize : display one matrix element as one pixel –axis off : turn off axis labelling –colormap(gray(num_color)) : adjust color map to grayscale –Note: Find the number of gray level by command size(unique(matrix))

4 4 Notes on Color Map Mapping to fewer color than required. –Result: Brighter image or Darker image Mapping to more color than required –Result: Brighter image or Darker image

5 5 Notes on Color Map Mapping to fewer color than required produces brighter image. (pixel whose intensity higher than the defined value assigned the highest value (white)) Mapping to more color than required produces darker image. (no pixels mapped to white) For indexed color image, map to the image’s palette.

6 6 imshow for Double Matrix Range is [0,1] not [0,255]. How to do it? –imshow(double_matrix/255) Vary the brightness of the image: –imshow(double_matrix/value) value > 255: darker; value < 255: brighter

7 7 Conversion: Double to Uint Image Manually >> b = double(a); >> c = b/255; Specific command: im2double >> d = im2double(a); Note: im2double automatically scale the output to the range of [0,1]

8 8 Conversion: Double to Uint Image Manually >> a = uint8(c * 255); Specific command: im2uint8 >> a = im2uint8(c); Note: im2uint8 automatically scale the input (range [0,1]) to the range of [0,255]

9 9 Display Binary Image Use uint8 data type with logical flag on >> imshow(logical(binary_matrix)) Or >> imshow(double(binary_matrix)) For normal grayscale image >> logical_matrix = integer_matrix > threshold Conversion: logical to uint8 >> matrix = + matrix

10 10 Bit Plane 8-bit unsigned integer Bit plane: binary image whose pixel is the value at the particular bit in the 8-bit unsigned integer MSB  Most Significant Bit Plane LSB  Least Significant Bit Plane

11 11 Bit Plane: Lena Bit Plane#0Bit Plane#1Bit Plane#2Bit Plane#3 Bit Plane#4Bit Plane#5Bit Plane#6Bit Plane#7

12 12 Bit Plane Construction: Example >> c = imread(‘cameraman.tif’); >> cd = double(c); >> c0 = mod(cd,2); >> c1 = mod(floor(cd/2),2); >> c2 = mod(floor(cd/4),2); >> c3 = mod(floor(cd/8),2); >> c4 = mod(floor(cd/16),2); >> c5 = mod(floor(cd/32),2); >> c6 = mod(floor(cd/64),2); >> c7 = mod(floor(cd/128),2); >>

13 13 Spatial Resolution Density of the pixels over the image Higher spatial resolution = more pixels in the image Change spatial resolution by imresize command Syntax: imresize(matrix, scale, method) imresize(matrix, scale) method: ‘nearest’, ‘bilinear’, ‘bicubic’

14 14 Decrease Spatial Resolution E.g. Lower the resolution by half on x and y axis >> imresize(x,1/2);

15 15 Increase Spatial Resolution E.g. Increase the spatial resolution by two on X and Y axes >> imresize(x,2);

16 16 Interpolation Example 450% Scaled up Nearest Neighbor Bilinear Bicubic

17 17 Quantization Digitize the image so that the number of the unique value is within the available range

18 18 Uniform Quantization Quantized value Input value MAX 0.75MAX 0.5MAX 0.25MAX x

19 19 Uniform Quantization Original values Output value MAX = 255

20 20 Quantization: Example 2 level 3 level

21 21 Quantization in MATLAB Quantization is simply applying flooring function after division Input image matrix = x Number of output grayscales = n Quantized output: f = floor(double(x)/n);

22 22 Quantization in MATLAB: Method 1 Command Number of grayscales uint8(floor(double(x)/2)*2) 128 uint8(floor(double(x)/4)*4) 64 uint8(floor(double(x)/8)*8) 32 uint8(floor(double(x)/16)*16) 16 uint8(floor(double(x)/32)*32) 8 uint8(floor(double(x)/64)*64) 4 uint8(floor(double(x)/128)*128) 2

23 23 Quantization in MATLAB: Method 2 Command Number of grayscales imshow(grayslice(x,128),gray(128)) 128 imshow(grayslice(x,64),gray(64)) 64 imshow(grayslice(x,32),gray(32)) 32 imshow(grayslice(x,16),gray(16)) 16 imshow(grayslice(x,8),gray(8)) 8 imshow(grayslice(x,4),gray(4)) 4 imshow(grayslice(x,2),gray(2)) 2 grayslice produces a uint8 version of image x, gray(n) produces a color map of n values.


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