PS How to remove the characters from the tourist attraction photos

After the National day Golden Week, I believe many friends have taken a lot of tourist scenery photos. This article is for you to remove the people who don't want to stay in the travel photos and tell you about the skills of shooting.

It is very difficult to keep looking for places in a busy tourist destination so that no one else or car will appear in the photo. Some places are so popular that no one is there for a moment.

Here are some simple tips that allow you to "create" a picture of no one. All you need is a tripod and your image-editing software.

The basic steps are:

1, the use of tripod

2, the use of manual exposure, set to uniform exposure parameters

3, the same angle of continuous shooting more than one photo

4, the use of Photoshop Eraser brush tool for post-processing

The basic principle of getting an unmanned photograph is based on the fact that people usually walk around. So you can take a series of photos of people in different locations in the same place and then synthesize them in later software. Here's an example:

The following picture was taken from a skyscraper in New York. It's difficult to take a picture of a New York without anyone, because it's very famous and many people like to come here.

In this picture, a man stood on the left, blocking a part of the line of sight.

A minute later his companion came, but this time they stood on the right, so they took another picture.

Would it be easy to synthesize 2 photos and get a clean picture of no one, using the scene on the right side of photo 1 and the scene on the left in photo 2?

There are many ways to achieve this. You can choose the one you use most. with Corel Paint shop Pro, just copy and paste photo 1 to photo 2. Using the eraser brush, it is easy to remove the man on the left of photo 1.

The final results are as follows:

Once you have mastered this technique, you can quickly create these pictures. It takes less than 1 minutes to process the top 2 examples.

Category:

• PS Image Processing