# Wavelet and Huffman Coding Optimization with V-Variable Image Compressor in Image Compression
> Rezky M.

URL kanonis: https://discover.unhas.ac.id/publications/wavelet-and-huffman-coding-optimization-with-v-variable-image-compressor-in-imag
Jurnal / Konferensi: 2023 1st International Conference on Advanced Engineering and Technologies Iconnic 2023 Proceeding
Tahun terbit: 2023
DOI: https://doi.org/10.1109/ICONNIC59854.2023.10467688
Citations: 1

## Authors
- Rezky M.

## Abstract
This study proposed an optimization method for image compression using wavelet and Huffman coding with a v-variable. The optimization was conducted by dividing the low and low frequencies in the image through wavelet and compressing the images separately from the high and low frequency and high and high frequency, making it possible to perform multi-level compression using v-variable. The images are then transformed into one dimension and stored using Huffman encoding. This experiment achieved higher compression rate compared to the established method.

## Keywords
- Huffman coding
- Image compression
- Wavelet
- Computer science
- Data compression
- Wavelet transform
- Tunstall coding
- Artificial intelligence
- Computer vision
- Image (mathematics)
- Image processing

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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