實驗要求：

Reducing the Number of Gray Levels in an Image
Objective
To understand how the number of gray levels affect the image perceptual quality.
Main requirements:
Ability of programming with C, C++, or Matlab.
Instruction manual:
(a) Write a computer program capable of reducing the number of gray levels in a image from 256 to 2, in integer powers of 2. The desired number of gray levels needs to be a variable input to your program.
(b) Download Fig. 2.21(a) and duplicate the results shown in Fig. 2.21 of the book.

英文不懂的查字典，不做贅述。
編寫MATLAB函數”reduceGrayLevel.m”：

function img_o = reduceGrayLevel( img_i, level ) %UNTITLED2 此處顯示有關此函數的摘要 % 此處顯示詳細說明imagesize = size(img_i);num = 256 / level;%創建新的圖像，與原圖像大小相同img_o = uint8(zeros(imagesize(1), imagesize(2)));% 灰度變換for r = 1:1:imagesize(1)for c = 1:1:imagesize(2)img_o(r, c) = fix(double(img_i(r,c))/num) * 255 / (level-1);endendend

運行下面程序：

%% clear all; clc; close all;%% image_name = 'general_img.jpg'; image = imread(image_name);image_level_128 = reduceGrayLevel(image, 128); image_level_64 = reduceGrayLevel(image, 64); image_level_32 = reduceGrayLevel(image, 32); image_level_16 = reduceGrayLevel(image, 16); image_level_8 = reduceGrayLevel(image, 8); image_level_4 = reduceGrayLevel(image, 4); image_level_2 = reduceGrayLevel(image, 2);figure(1) subplot(2,4,1), imshow(image) subplot(2,4,2), imshow(image_level_128) subplot(2,4,3), imshow(image_level_64) subplot(2,4,4), imshow(image_level_32) subplot(2,4,5), imshow(image_level_16) subplot(2,4,6), imshow(image_level_8) subplot(2,4,7), imshow(image_level_4) subplot(2,4,8), imshow(image_level_2)

實驗結果：

很明顯，隨著灰度級的減小，圖片越來越不清晰。

《新程序員》：云原生和全面數字化實踐50位技術專家共同創作，文字、視頻、音頻交互閱讀

總結

以上是生活随笔為你收集整理的数字图像处理实验（2）：PROJECT 02-02， Reducing the Number of Gray Levels in an Image的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。