Details

Autor(en) / Beteiligte

• Chen, Pingping
• Xu, Qingming
• Geng, Xiaoran
• Zou, Min
• Liu, Huiling
• Tan, Dingying

Titel

Image Compression Algorithm Optimization Based on Android Application

Ist Teil von

• Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence, 2020, p.192-197

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2020

Quelle

ACM Digital Library

Beschreibungen/Notizen

• In Android mobile applications, the transmission of pictures in the network is one of the main causes of data traffic consumption. In order to make the pictures transmit in small size in the network and obtain good picture quality, a new compression strategy is designed. By investigating the image compression algorithms commonly used in the market, two optimization schemes based on Luban algorithm to calculate the aspect ratio of the image and prioritize the size of the image and then consider the size are proposed. The experimental results show that the optimization algorithm is less than twice the compression of the commonly used Luban algorithm within 15ms of the compression time. The optimized algorithm can quickly and efficiently compress the image and preserve good image quality.