本文实例讲述了Python基于opencv的图像压缩算法。分享给大家供大家参考,具体如下:
<>强插值方法:
CV_INTER_NN -最近邻插值,
CV_INTER_LINEAR——双线性插值(缺省使用)
CV_INTER_AREA——使用象素关系重采样。当图像缩小时候,该方法可以避免波纹出现。当图像放大时,类似于CV_INTER_NN方法。
CV_INTER_CUBIC——立方插值。
函数cvResize将图像src改变尺寸得到与dst同样大小。若设定ROI,函数将按常规支持ROI。
<强>程序1:图像压缩(第一版)
#=utf - 8编码
导入的时间
time1=time.time ()
进口cv2
形象=cv2.imread (“c:/1. jpg”)
res=cv2。调整(图片,(1280,960),插值=cv2.INTER_AREA)
# cv2。imshow(“形象”,图片)
# cv2。imshow(“调整”,res)
# cv2.waitKey (0)
# cv2.destroyAllWindows ()
cv2.imwrite (5.“C:/jpg”, res)
time2=time.time ()
打印u '总共耗时:“+ str (time2 - time1) +“年代”
之前
4.19 - 377 k的压缩了11倍
<强>程序2:图像压缩(第二版)
# - *编码:utf - 8 - *
# # # # # # # # # # # # #设置编码# # # # # # # # # # # # # # # #
导入系统
重载(系统)
sys.setdefaultencoding (“utf - 8”)
# # # # # # # # # # # # # # # # # # #导入计算机视觉库opencv和图像处理库公益诉讼# # # # # # # # # # # # # # # # # # # #
从公益诉讼导入图像
从公益诉讼进口ImageEnhance
从公益诉讼进口ImageFilter
进口cv2
导入的时间
time1=time.time ()
# # # # # # # # # # # # # # # # # # # #读入图像# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
形象=cv2.imread (“c:/图片//0. jpg”)
# # # # # # # # # # # # # # # # # # # #双三次插值# # # # # # # # # # # # # # # # # # # # # # # # # # # # #
res=cv2。调整(图片,(1280,960),插值=cv2.INTER_AREA)
# # # # # # # # # # # # # # # # # # # #写入图像# # # # # # # # # # # # # # # # # # # # # # # #
cv2.imwrite (101.“C:/图片/jpg”(res)
# # # # # # # # # # # # # # # # # # # # # # # # # # #图像对比度增强# # # # # # # # # # # # # # # # # #
imgE=Image.open (“c:/图片/101. jpg”)
imgEH=ImageEnhance.Contrast (imgE)
img1=imgEH.enhance (2.8)
# # # # # # # # # # # # # # # # # # # # # # # #图像转换为灰度图# # # # # # # # # # # # # # #
灰色=img1.convert (“L”)
gray.save (“C:/图片/3. jpg”)
# # # # # # # # # # # # # # # # # # # # # # # # # #图像增强# # # # # # # # # # # # # # # # # # # # # # # # # # #
#创建滤波器,使用不同的卷积核
gary2=gray.filter (ImageFilter.DETAIL)
gary2.save (“C:/图片/2. jpg”)
# # # # # # # # # # # # # # # # # # # # # # # # # # # # #图像点运算# # # # # # # # # # # # # # # # #
gary3=gary2。点(λ:我* 0.9)
gary3.save (“C:/图片/4. jpg”)
# img1.show (“new_picture”)
time2=time.time ()
打印u '总共耗时:“+ str (time2 - time1) +“年代”
之前
4.17→290 kb
<强>程序3:函数版本
# - *编码:utf - 8 - *
# # # # # # # # # # # # #设置编码# # # # # # # # # # # # # # # #
导入系统
重载(系统)
sys.setdefaultencoding (“utf - 8”)
# # # # # # # # # # # #导入计算机视觉库opencv和图像处理库公益诉讼# # # # # # # # # # # # # # # # # # # #
从公益诉讼导入图像
从公益诉讼进口ImageEnhance
从公益诉讼进口ImageFilter
进口cv2
导入的时间
time1=time.time ()
# # # # # # # # # # # # # # # # # # # # # # # #自定义图像压缩函数# # # # # # # # # # # # # # # # # # # # # # # # # # # #
def img_zip(路径、filename1 filename2):
形象=cv2.imread(路径+ filename1)
res=cv2。调整(图片,(1280,960),插值=cv2.INTER_AREA)
cv2。imwrite(路径+ filename2 res)
+ filename2 imgE=Image.open(路径)
imgEH=ImageEnhance.Contrast (imgE)
img1=imgEH.enhance (2.8)
gray1=img1.convert (“L”)
gary2=gray1.filter (ImageFilter.DETAIL)
gary3=gary2。点(λ:我* 0.9)
gary3.save(路径+ filename2)
# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #主函数# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #
if __name__==癬_main__”:
路径=u“c:/图片/?
filename1=" 0. jpg”
filename2=" 1. jpg”
img_zip(路径、filename1 filename2)
time2=time.time ()
打印u '总共耗时:“+ str (time2 - time1) +“年代”
