Analysis of Arithmetic and Huffman Compression Techniques by Using DWT-DCT

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Gaurav Kumar 1,* Rajeev Kumar 2

1. Block IT Assistant, Government of Bihar, India

2. Department of Computer Science, Central University of South Bihar, Gaya, India

* Corresponding author.


Received: 3 Jan. 2021 / Revised: 8 Feb. 2021 / Accepted: 1 Mar. 2021 / Published: 8 Aug. 2021

Index Terms

Discrete Wavelet Transform, Discrete Cosine Transform, Arithmetic Coding, Huffman Coding, PSNR, MSE, CR.


In the recent era, digital contents are exchanging over the internet and it has increased exponentially. Sometimes, we need small sizes to share the real world, because of narrow bandwidth. Hence, the data compression concept came in limelight to utilize the storage capacity and available bandwidth efficiently. This paper presents an analysis of Arithmetic and Huffman compression techniques based on a hybrid combination of the DWT-DCT techniques. The input image is decomposed up to the 3rd level by using the DWT and then Arithmetic & Huffman coding is applied separately on quantized sub-bands on 2nd as well as 3rd level coefficients from approximation sub-bands to get a high compression ratio and high peak signal-to-noise ratio values. On the third level approximation sub-band, the DCT method is applied to reduce the blocking effect. Simulation results show that the Arithmetic coding exhibits higher CR than Huffman coding, but smaller PSNR values.

Cite This Paper

Gaurav Kumar, Rajeev Kumar, " Analysis of Arithmetic and Huffman Compression Techniques by Using DWT-DCT", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.13, No.4, pp. 63-70, 2021. DOI: 10.5815/ijigsp.2021.04.05


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