A Hardware-Oriented Image Compression Algorithm Based on BTC and YEF Color Space

A Hardware-Oriented Image Compression Algorithm Based on BTC and YEF Color Space

This paper proposes a new compression algorithm based on color sampling and Block Truncation Coding (BTC). It is composed of several steps; color sampling; BTC parameter training; threshold selection; sub-sampling; prediction and quantization; and Huffman coding. The color sampling was applied using...

Full description

Saved in:
Bibliographic Details
Main Authors: Ke, Shih-Yao, Jhou, He-Sheng, Chen, Chiung-An, Lin, Ting-Lan, Abu, Patricia Angela R, Chen, Shih-Lun
Format: text
Published: Archīum Ateneo 2021
Subjects:
training
image coding
quantization (signal)
image color analysis
transform coding
prediction methods
prediction algorithms
YEF color space
block truncation coding
bit map
threshold
image compression
color sampling
Huffman coding
Computer Sciences
Databases and Information Systems
Online Access:https://archium.ateneo.edu/discs-faculty-pubs/220
https://ieeexplore.ieee.org/document/9427696
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Ateneo De Manila University
Description
Summary:This paper proposes a new compression algorithm based on color sampling and Block Truncation Coding (BTC). It is composed of several steps; color sampling; BTC parameter training; threshold selection; sub-sampling; prediction and quantization; and Huffman coding. The color sampling was applied using YEF color space which reduced 34% storage. The subsequent sub-sampling; quantization table prediction; and Huffman coding further increase compression rates. In addition; the BTC parameter training step finds the best reconstruction value for each 4*4 block and bitmap threshold value to improve the image quality. Compared with previously studies; the proposed algorithm shows a better average compression rate.

Similar Items