def dhash(image_path, hash_size=8):

打开图像并调整大小为 (hash_size + 1) x hash_size

img = Image.open(image_path)
img = img.convert('L').resize((hash_size + 1, hash_size), Image.Resampling.LANCZOS)

# 获取像素数据
pixels = list(img.getdata())

# 计算差异：每行比较相邻像素
difference = []
for row in range(hash_size):
    for col in range(hash_size):
        left_pixel = pixels[row * (hash_size + 1) + col]
        right_pixel = pixels[row * (hash_size + 1) + col + 1]
        difference.append(left_pixel > right_pixel)

# 转换为二进制哈希
decimal_value = 0
for i, diff in enumerate(difference):
    if diff:
        decimal_value += 2**i

return "{:0>16x}".format(decimal_value)  # 返回16字符hex字符串

示例使用

hash1 = dhash("image1.jpg") hash2 = dhash("image2.jpg")

print("Hash 1:", hash1) print("Hash 2:", hash2) print("汉明距离:", hamming_distance(hash1, hash2))