Traditional Culture Encyclopedia - Photography major - How to solve the problem of video segmentation in DJI UAV shooting

How to solve the problem of video segmentation in DJI UAV shooting

Whether it is camera or drone photography, RAW format is very important. It records too much content, and the later RAW processing process is to express color, detail and hierarchy. My idea is to adjust the volume first, then improve the local exposure and color, and then do appropriate noise reduction to ensure the details of the picture and restore a pure picture.

Open this picture in DNG format in Photoshop ACR. Click "Automatic" first, and let the software help you "one-click promotion" first, and then fine-tune the "highlights" and "shadows" to ensure that the overall exposure is balanced, and there will be no large-scale overexposure and underexposure.

For films with more noise, we must be careful in the adjustment of clarity and details. It's okay to give a little. I added five here. RAW format records, but it does not reflect saturation, and the overall color is too gray to look good. So for natural saturation and saturation, I will increase 20 respectively.

I'm doing lens correction now. For Yu 2 Professional Edition, I prefer this lens configuration, which obviously improves the distortion of the picture:

The overall adjustment is ok, and now we will start local treatment. First, adjust the local exposure. We can see that the circular hotels and roads in the picture have landscape lights, which are the highlights in the picture. We need to strengthen it.

First, use the Radial Filter tool to select the circular building body. The selected feathering value is slightly larger. I usually set it to 80, and the effect is "inside". The red color in the picture represents the selection range of the mask, not the real main color. Then slightly increase the exposure, and then add some warm colors with white balance.

In the same way, the road is also chosen. At this time, use the Brush Tool, and master the size of the brush. My choices are as follows, and then add some exposure and warm colors. For the most prominent yellow in the picture, we are adding some saturation separately. Adjust the yellow separately. Ok, we just adjusted the overall exposure, overall color, local exposure and local color respectively. Now let's take a very crucial step, noise reduction. The noise in the picture is mainly white noise and color noise. In ACR, we first find the details (that is, two triangles). There are two options: Sharpen and Noise Reduction. Sharpen the default value of 40, which is reasonable by default. We mainly look at noise reduction, which is noise reduction.

There are two key adjustment options: brightness and color, which are powerful tools to reduce white and color noise in the picture. We need to adjust the value according to the specific situation of picture noise. In this case, we set the values of brightness and color to 50. Other parameters may be fixed.