tensorflow实现图像色彩的调整


实现图像的调整包括以下几个方面:

调整图像的亮度:tf.image.adjust_brightness(img, p)。img是表示目标图像,p表示对比度,大于零变亮,反之变暗

调整图像的对比度。tf.image.adjust_contrast,用法同上

调整色相。tf.image.adjust_hue。用法同上

调整饱和度:tf.image.adjust_saturation。用法同上

例如:

import matplotlib.pyplot as plt;
import tensorflow as tf;

image_raw_data_jpg = tf.gfile.FastGFile('11.jpg', 'r').read()

with tf.Session() as sess:
	img_data_jpg = tf.image.decode_jpeg(image_raw_data_jpg)
	img_data_jpg = tf.image.convert_image_dtype(img_data_jpg, dtype=tf.float32)
	img_1 = tf.image.adjust_brightness(img_data_jpg, 0.5)
	img_2 = tf.image.adjust_contrast(img_data_jpg, 5)
	img_3 = tf.image.adjust_hue(img_data_jpg, 0.8)
	img_4 = tf.image.adjust_saturation(img_data_jpg, 5)