Get the App
SLTechnology News&Howtos  ›  Development  › 

How to realize the jigsaw puzzle with PS

Shulou Source: shulou.com Published: 2022-06-01 12:18:06 10月01日 Update

This article will explain in detail how to achieve the jigsaw puzzle in PS. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

1: open the Photoshop CS5 software, pull our found picture to the drawing area, and import the picture into the software as a background layer. Pull the background layer to the [New layer] icon to copy a picture layer (Note: the purpose of copying is to keep the original picture)

Click [Image]-[adjust]-[Color level], click the excellent level setting bar, and adjust the contrast of the picture as shown. When finished, click "Image"-"adjust"-"Hue / saturation" to adjust the saturation of the image (as shown)

Double-click the blank area of the pictured layer, pop up the layer style setting bar, check the bevel / relief and texture, and set the parameters of the two items according to the diagram to complete the jigsaw puzzle effect (as shown)

4: in addition to setting the jigsaw puzzle effect parameters, we can also make it through our own jigsaw puzzle style. Double-click the blank area of the iconic layer, pop up the [layer style] setting bar, click "style", find and select "Jigsaw effect", and click "OK". In this way, you can also create a jigsaw puzzle.

5: after making the puzzle, we need to save it. Click "File"-"Save as", set the storage format to: jpg format, click Save, and save the file in jpg image format.

This is the end of the article on "how to realize the jigsaw puzzle in PS". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

Tags: Pictures effects styles adjustments regions formats articles production parameters images files more white space background software saturation mouse such as figure storage saturation Apple Docker Huawei Linux macOS MariaDB Microsoft MySQL NVidia OPPO Reno Shulou Information Shulou Tech Info Microsoft Redmi Apple