A Fast JPEG Image Compression Algorithm Based on DCT

• Published in: 2020 IEEE International Conference on Smart Cloud (SmartCloud) pp. 106 - 110
• Main Authors: Xiao, Weidong, Wan, Nianbin, Hong, Alan, Chen, Xiaoyan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.11.2020
• Subjects: Discrete cosine transforms; Huffman coding; Image coding; Image color analysis; JPEG image; lossy compression; Quantization (signal); run length coding; Streaming media; Transform coding; Transforms
• DOI: 10.1109/SmartCloud49737.2020.00028

With the advent of the information age, people rely more and more on the use of computers to obtain and process information. Computer system is faced with the transmission of multiple media file data. This paper introduces a fast JPEG image compression algorithm based on DCT. The algorithm introduces the process of image coding and decoding for JPEG. The encoding part of the image can process the BMP format image by JEPG, and compress it into a binary file for real-time storage. The image can be decompressed by the corresponding decoding program. In addition, in the process of image transmission, taking advantage of the fact that human vision is not sensitive to chroma, JPEG format can be used to encode static image, and the color RBG of JPEG image can be changed into brightness y, chroma Cr and CB, which can not only effectively reduce chroma data, but also achieve compression.