边保滤波器

最新推荐文章于 2025-03-24 00:30:00 发布

Mr.小蔡

最新推荐文章于 2025-03-24 00:30:00 发布

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文章标签： vscode c++ ide

本文链接：https://blog.youkuaiyun.com/weixin_42228294/article/details/123880614

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本文介绍了如何利用OpenCV将彩色图像转换为素描效果，通过应用边缘保护的滤波器，如遮罩与高斯模糊结合的 dodgeV2 方法，实现非真实感渲染。代码包括图像读取、灰度处理、反色、模糊及融合步骤，最终展示转换效果。

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边缘保护滤波器

今天实现了将实物图转化成素描：

import cv2
import numpy as np
 
 
def dodgeNaive(image, mask):
    # determine the shape of the input image
    width, height = image.shape[:2]
 
    # prepare output argument with same size as image
    blend = np.zeros((width, height), np.uint8)
 
    for col in range(width):
        for row in range(height):
            # do for every pixel
            if mask[col, row] == 255:
                # avoid division by zero
                blend[col, row] = 255
            else:
                # shift image pixel value by 8 bits
                # divide by the inverse of the mask
                tmp = (image[col, row] << 8) / (255 - mask)
                # print('tmp={}'.format(tmp.shape))
                # make sure resulting value stays within bounds
                if tmp.any() > 255:
                    tmp = 255
                    blend[col, row] = tmp
 
    return blend
 
 
def dodgeV2(image, mask):
    return cv2.divide(image, 255 - mask, scale=256)
 
 
def burnV2(image, mask):
    return 255 - cv2.divide(255 - image, 255 - mask, scale=256)
 
 
def rgb_to_sketch(src_image_name, dst_image_name):
    img_rgb = cv2.imread(src_image_name)
    img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
    # 读取图片时直接转换操作
    # img_gray = cv2.imread('example.jpg', cv2.IMREAD_GRAYSCALE)
 
    img_gray_inv = 255 - img_gray
    img_blur = cv2.GaussianBlur(img_gray_inv, ksize=(21, 21),
                                sigmaX=0, sigmaY=0)
    img_blend = dodgeV2(img_gray, img_blur)
 
    cv2.imshow('original', img_rgb)
    cv2.imshow('gray', img_gray)
    cv2.imshow('gray_inv', img_gray_inv)
    cv2.imshow('gray_blur', img_blur)
    cv2.imshow("pencil sketch", img_blend)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
    cv2.imwrite(dst_image_name, img_blend)
 
 
if __name__ == '__main__':
    src_image_name = 'img.jpg'
    dst_image_name = 'sketch_example.jpg'
    rgb_to_sketch(src_image_name, dst_image_name)