Medical Image Compression Using Hybrid Techniques of DWT, DCT and Huffman Coding

Kumar, Thaneshwar; Kumar, Danya Pradeep

doi:10.17148/ijireeice.2015.3214

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…In 2013, Kavinder [17] combined Huffman coding (lossless) and discrete cosine transform (lossy) and improved the technique by using vector quantization to increase the compression ratio. In 2015, Kumar and Kumar [21] used hybrid techniques of discrete wavelet transform-discrete cosine transform (DWT-DCT) and Huffman coding, while Fahmi et al introduced sequential storage of difference for image compressing in medical image cloud application [22, 23]. Other works on lossless and lossy data compression techniques are found in [24–28].…”

Section: Related Workmentioning

confidence: 99%

Analysis of DICOM Image Compression Alternative Using Huffman Coding

Rahmat

Andreas

Fahmi

et al. 2019

Journal of Healthcare Engineering

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Compression, in general, aims to reduce file size, with or without decreasing data quality of the original file. Digital Imaging and Communication in Medicine (DICOM) is a medical imaging file standard used to store multiple information such as patient data, imaging procedures, and the image itself. With the rising usage of medical imaging in clinical diagnosis, there is a need for a fast and secure method to share large number of medical images between healthcare practitioners, and compression has always been an option. This work analyses the Huffman coding compression method, one of the lossless compression techniques, as an alternative method to compress a DICOM file in open PACS settings. The idea of the Huffman coding compression method is to provide codeword with less number of bits for the symbol that has a higher value of byte frequency distribution. Experiments using different type of DICOM images are conducted, and the analysis on the performances in terms of compression ratio and compression/decompression time, as well as security, is provided. The experimental results showed that the Huffman coding technique has the capability to compress the DICOM file up to 1 : 3.7010 ratio and up to 72.98% space savings.

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Section: Related Workmentioning

confidence: 99%

Analysis of DICOM Image Compression Alternative Using Huffman Coding

Rahmat

Andreas

Fahmi

et al. 2019

Journal of Healthcare Engineering

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“…PSNR represents a measure of the peak error. The lower the value of MSE, lower the error and higher the PSNR value , the better the quality of the reconstructed image [13], whose formula is represented below.…”

Section: Peak Signal-to-noise Ratio(psnr)mentioning

confidence: 99%

N-Pattern Huffman Compression Algorithm for Medical Images in Telemedicine

Vincent¹,

Jayaraj²

2016

JCP

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The main purpose of this paper is to put forth an idea to reduce the size of the medical images to be transmitted optimally and qualitatively with the special focus in the field of telemedicine. The fact that the bandwidth factor influences the data transfer rate, the data has to be as small as possible to be transmitted and downloaded swiftly across the nets. A new method has to be proposed, where by the compression of the data could be still improved. This has been achieved by improving the existing Huffman lossless compression algorithm. The proposed N-Pattern Technique focuses on identification and grouping the different length patterns based on their intensity values and optimizing the input to the encoder for compression. On comparison with the existing method, the proposed method greatly improves the compression and the space saving with the quality of the image being still maintained.

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“…Numerous methods for image compression such as DWT, DCT, and Huffman encoding compression algorithm were presented. The medical image was compressed by using these methods [31]. Another technique of compression, IWT, was presented.…”

Section: Introductionmentioning

confidence: 99%

A Metaheuristic Approach to Secure Multimedia Big Data for IoT‐Based Smart City Applications

Gill

Singh

Kaur

et al. 2021

Wireless Communications and Mobile Computing

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Media streaming falls into the category of Big Data. Regardless of the video duration, an enormous amount of information is encoded in accordance with standardized algorithms of videos. In the transmission of videos, the intended recipient is allowed to receive a copy of the broadcasted video; however, the adversary also has access to it which poses a serious concern to the data confidentiality and availability. In this paper, a cryptographic algorithm, Advanced Encryption Standard, is used to conceal the information from malicious intruders. However, in order to utilize fewer system resources, video information is compressed before its encryption. Various compression algorithms such as Discrete Cosine Transform, Integer Wavelet transforms, and Huffman coding are employed to reduce the enormous size of videos. moving picture expert group is a standard employed in video broadcasting, and it constitutes of different frame types, viz., I, B, and P frames. Later, two frame types carry similar information as of foremost type. Even I frame is to be processed and compressed with the abovementioned schemes to discard any redundant information from it. However, I frame embraces an abundance of new information; thus, encryption of this frame is sufficient enough to safeguard the whole video. The introduction of various compression algorithms can further increase the encryption time of one frame. The performance parameters such as PSNR and compression ratio are examined to further analyze the proposed model’s effectiveness. Therefore, the presented approach has superiority over the other schemes when the speed of encryption and processing of data are taken into consideration. After the reversal of the complete system, we have observed no major impact on the quality of the deciphered video. Simulation results ensure that the presented architecture is an efficient method for enciphering the video information.

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Medical Image Compression Using Hybrid Techniques of DWT, DCT and Huffman Coding

Cited by 6 publications

References 23 publications

Analysis of DICOM Image Compression Alternative Using Huffman Coding

Analysis of DICOM Image Compression Alternative Using Huffman Coding

N-Pattern Huffman Compression Algorithm for Medical Images in Telemedicine

A Metaheuristic Approach to Secure Multimedia Big Data for IoT‐Based Smart City Applications

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