文件名称:matlab2
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对“2.1.bmp”图像操作，将其放大至原来大小的1.5倍，采用双线性插值方法放大。
对“2.1.bmp”绕图像中心逆时针旋转20度，采用双线性插值方法。此题目不要使用imresize和imrotate函数，自己写程序完成。
2.对畸变图像进行矫正:”2.2.bmp”为畸变后的图像，已知畸变后图像上的四个点（118，88）（90，140）（139，168）（168，116）对应畸变前的点分别为为（98，98）（98，158）（158，158）（158，68），用对应点约束法求畸变前的图像。（题目中的坐标为行-列坐标；涉及到的插值用双线性插值法）
3.利用离散余弦变换函数（dct2和idct2）对“lena.bmp”做压缩，观察压缩效果。
-Image manipulation, "2.1.bmp" zoom to 1.5 times the original size, using bilinear interpolation method to enlarge.
"2.1.bmp" around the center of the image counterclockwise rotation of 20 degrees, a bilinear interpolation method. This topic Do not use imresize, and imrotate function, write your own program to complete.
2 of the distortion of the image to be corrected: "2.2.bmp" image after distortion, it is known that the four points on the image of the distortion (118,88) (90,140) (139,168) (168,116) corresponding to distortion prior to the point were to (98,98) (98,158) (158,158) (158,68), with a corresponding point constraint method seeking the image in front of the distortion. (Coordinates in the subject line- column coordinate involves interpolation with bilinear interpolation)
3 using discrete cosine transform the function (dct2, and idct2) "lena.bmp" do the compression, to observe the compression effect.
对“2.1.bmp”绕图像中心逆时针旋转20度，采用双线性插值方法。此题目不要使用imresize和imrotate函数，自己写程序完成。
2.对畸变图像进行矫正:”2.2.bmp”为畸变后的图像，已知畸变后图像上的四个点（118，88）（90，140）（139，168）（168，116）对应畸变前的点分别为为（98，98）（98，158）（158，158）（158，68），用对应点约束法求畸变前的图像。（题目中的坐标为行-列坐标；涉及到的插值用双线性插值法）
3.利用离散余弦变换函数（dct2和idct2）对“lena.bmp”做压缩，观察压缩效果。
-Image manipulation, "2.1.bmp" zoom to 1.5 times the original size, using bilinear interpolation method to enlarge.
"2.1.bmp" around the center of the image counterclockwise rotation of 20 degrees, a bilinear interpolation method. This topic Do not use imresize, and imrotate function, write your own program to complete.
2 of the distortion of the image to be corrected: "2.2.bmp" image after distortion, it is known that the four points on the image of the distortion (118,88) (90,140) (139,168) (168,116) corresponding to distortion prior to the point were to (98,98) (98,158) (158,158) (158,68), with a corresponding point constraint method seeking the image in front of the distortion. (Coordinates in the subject line- column coordinate involves interpolation with bilinear interpolation)
3 using discrete cosine transform the function (dct2, and idct2) "lena.bmp" do the compression, to observe the compression effect.
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新建文件夹\t2_1.m
..........\t2_1_2.m
..........\t2_2.m
..........\t2_3.m
..........\t2_4.m
..........\t2_5.m
..........\t2_6.m
..........\t2_7.m
新建文件夹