最新通知(更新时间2010年6月8日星期二)
05/19: 第六次作业（截止时间06/06）
1.
(20 points)
Implement median filter with variable window size and shape;
2.
(20 points)
Implement another local smoothing filter with possible variable parameters;
3.
(40 points)
Implement Canny edge detector; what is your extension to step 7? (Without step
7, you can only get at most 30 points.)
4.
(30 points)
Implement another edge detector and compare it with Canny detector.
05/05: 第五次作业（截止时间05/26）
Develop a GUI program with matlab
or any other tools such that it implements:
1.
(30 points)
Grey scale transformations with given functions such as exponent, logarithm,
user defined (by some control points for a piece wise linear function), etc.;
2.
(15 points)
Histogram stretching to a given range;
3.
(20 points)
Histogram equalization;
4.
(30 points)
Histogram matching: find other probability density functions in [Rongchun Zhao, 2000, p. 81]. Implement the
histogram matching transforms for those probability density functions.
5.
(20 points)
Histogram matching to the histogram from a given image.
Note:
· Histograms should be plotted whenever histograms are
involved.
· Your final score will also depend on the interface of
your program.
· Be sure to choose illustrative images.
04/29: 第四次作业（截止时间05/13）
Develop a GUI program with matlab
or any other tools such that:
1.
(15 points) it
can load and display images. matlab functions you may need are: uigetfile,
fullfile, imread, imagesc, imshow, ….
2.
(30 points) it
can convert images to and display images in different color spaces. At least
three color spaces are included.
3.
(15 points) it
can save image with preferred formats.
matlab functions you may need are: uiputfile, fullfile, imwrite, save,
….
03/24: 第三次作业（截止时间04/18）
Image Quality and Image Noise
1.
(30 points) Use
images corrupted with various noises to demonstrated the performance of image
quality measures such as MSE, SNR and PSNR;
2.
(50 points)
Which measure do you think statistically reasonable?
3.
(20 points)
Please refer to references in the lecture notes for other measures.
03/24: 第二次作业（截止时间03/31）
1. (10分)给出从公式(15)
到公式(16)
的推导过程详细步骤。
03/15: 本学期03/17，04/14的课程由助教毛珩博士讲授专题：“自适应光学的相位恢复”【请大家互相转告！！！】
03/10: 第一次作业，(截止时间：03/21/2010)【书面作业也请用电子文档提交】
1.
(10 points) How
to display a 16 bit gray level image? Generate an image of 16 bit and try to
display it with your computer.
2.
(10 points) If
a discrete image is of continuous range, the image matrix is of type float or
double. How to display it? Generate an image of float or double type and try to
display it with your computer.
3.
(10 points)
Discuss the various factors that influence the brightness of a pixel in an
image.
旧版本讲义：
课程讲义的pdf版本(供打印使用)
课程讲义的pdf版本（供讲课使用）