摘要：【中文】本文描述了图像处理方法和图像处理设备，所述方法包括确定所述图像的亮度值。所述方法还包括响应于所述图像的亮度值小于图像亮度阈值，则对所述图像的亮度进行增强，其包括：将所述图像的每个像素确定为待增强像素；基于所述图像的亮度值、所述待增强像素的初始亮度值以及所述待增强像素的相邻像素的初始亮度值，确定所述待增强像素的亮度增强值；对所述待增强像素的亮度进行增强以将所述亮度增强值作为所述待增强像素的增强后的亮度值。利用上述方法和设备，可以大幅降低图像处理过程的资源占用率。 【EN】An image processing method and an image processing apparatus are described, the method comprising determining a luminance value of the image. The method further includes, in response to a brightness value of the image being less than an image brightness threshold, enhancing a brightness of the image, including: determining each pixel of the image as a pixel to be enhanced; determining a brightness enhancement value of the pixel to be enhanced based on a brightness value of the image, an initial brightness value of the pixel to be enhanced and initial brightness values of pixels adjacent to the pixel to be enhanced; and enhancing the brightness of the pixel to be enhanced to take the brightness enhancement value as the enhanced brightness value of the pixel to be enhanced. By using the method and the equipment, the resource occupancy rate in the image processing process can be greatly reduced.

摘要：【中文】本申请提供了一种图像处理方法、视频处理方法以及对应的装置，图像处理方法包括：获取待处理图像；对待处理图像的各通道中指定通道的原始图像进行模糊处理，得到第一模糊图像；将指定通道的原始图像和第一模糊图像进行高反差保留处理，得到高反差保留图像；对于每一通道，基于该通道的原始图像和高反差保留图像，得到该通道对应的第二模糊图像；基于各通道的第二模糊图像和高反差保留图像，得到待处理图像对应的美颜后的图像。由于该方案美颜过程中没有图像格式转换，且只对一个通道的图像进行了模糊处理和高反差保留处理，降低了美颜处理的复杂程度，进而降低了美颜处理的CPU占用率。 【EN】The application provides an image processing method, a video processing method and a corresponding device, wherein the image processing method comprises the following steps: acquiring an image to be processed; carrying out fuzzy processing on an original image of a specified channel in each channel of an image to be processed to obtain a first fuzzy image; performing high contrast retaining processing on the original image and the first blurred image of the appointed channel to obtain a high contrast retained image; for each channel, obtaining a second blurred image corresponding to the channel based on the original image and the high-contrast reserved image of the channel; and obtaining a beautified image corresponding to the image to be processed based on the second blurred image and the high-contrast reserved image of each channel. Because the image format conversion is not carried out in the beautifying process, and the blurring processing and the high contrast retaining processing are only carried out on the image of one channel, the complexity of the beautifying processing is reduced, and the CPU occupancy rate of the beautifying processing is further reduced.