Comparison of wavelet filters in image coding using hybrid compression technique

Vijayabhaskar, P. V. M.; Raajan, N. R.

doi:10.1109/icevent.2013.6496570

Cited by 5 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other than adding FMM method [29], the improvement of hybrid compression performance is also made by combining several transformation methods (hybrid transformation). Of the combined transformation methods are transform coding technique and wavelet based [30][31][32][33][34][35]. Hybrid compression uses this hybrid transform combined with quantization and coding techniques like entropy coding [30], Huffman coding [31][32][33], or arithmetic coding [34], [35].The testing result indicates that hybrid transform is going to improve hybrid compression performance if it is combined with Huffman coding instead of arithmetic or entropy coding.…”

Section: Hybrid Transformationmentioning

confidence: 99%

Survey of Hybrid Image Compression Techniques

Setyaningsih¹,

Harjoko²

2017

IJECE

View full text Add to dashboard Cite

A compression process is to reduce or compress the size of data while maintaining the quality of information contained therein. This paper presents a survey of research papers discussing improvement of various hybrid compression techniques during the last decade. A hybrid compression technique is a technique combining excellent properties of each group of methods as is performed in JPEG compression method. This technique combines lossy and lossless compression method to obtain a high-quality compression ratio while maintaining the quality of the reconstructed image. Lossy compression technique produces a relatively high compression ratio, whereas lossless compression brings about high-quality data reconstruction as the data can later be decompressed with the same results as before the compression. Discussions of the knowledge of and issues about the ongoing hybrid compression technique development indicate the possibility of conducting further researches to improve the performance of image compression method.

show abstract

Section: Hybrid Transformationmentioning

confidence: 99%

Survey of Hybrid Image Compression Techniques

Setyaningsih¹,

Harjoko²

2017

IJECE

View full text Add to dashboard Cite

show abstract

“…In [26] this paper, Image is decomposed into four sub-bands using first level decomposition DWT after that LL1 band is further decomposed into four sub-bands using DWT. Then LL2 is again decomposed into four sub-bands.…”

Section: Critical Analysis Of Review Of Literaturementioning

confidence: 99%

A Review: DWT-DCT Technique and Arithmetic-Huffman Coding based Image Compression

Kumar¹,

Brar²,

Kumar³

et al. 2015

IJEM

View full text Add to dashboard Cite

Nowadays, the volume of the data is increasing with time which generates a problem in storage and transfer. To overcome this problem, the data compression is the only solution. Data compression is the science (or an art) of representing information in compact form. This is an active research area. Compression is to save the hardware storage space and transmission bandwidth by reducing the redundant bits. Basically, lossless & lossy are two types of data compression technique. In lossless data compression, original data is similar to decompressed or decoded data, but in lossy technique is not same. In this paper, Study lossless image compression technique. The purpose of image compression is to maximum bandwidth utilization and reduces storage capacity. This technique is beneficial to image storage and transfer. At the present time, Mostly image compression research have focused on the wavelet transform due to better performance over another transform. The performance is evaluated by using MSE & PSNR. DWT, quantization, Arithmetic, Huffman coding and DCT techniques are briefly introduced. After decompression, the quality of image is evaluated using PSNR parameter between original & decoded image. Compression ratio (CR) parameter is calculated to measure how many times image compressed.

show abstract

“…VQ is a lossy technique whereas the other two are lossless. This paper presents an analysis of Arithmetic [10][11][12][13] and Huffman [14][15][16] based variablelength coding for compression.…”

Section: Introductionmentioning

confidence: 99%

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

Kumar¹,

Kumar²

2021

IJIGSP

View full text Add to dashboard Cite

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 3 rd level by using the DWT and then Arithmetic & Huffman coding is applied separately on quantized sub-bands on 2 nd as well as 3 rd level coefficients from approximation subbands to get a high compression ratio and high peak signal-to-noise ratio values. On the third level approximation subband, 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.

show abstract

Comparison of wavelet filters in image coding using hybrid compression technique

Cited by 5 publications

References 5 publications

Survey of Hybrid Image Compression Techniques

Survey of Hybrid Image Compression Techniques

A Review: DWT-DCT Technique and Arithmetic-Huffman Coding based Image Compression

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

Contact Info

Product

Resources

About