A Hybrid Image Compression Technique for Medical Images

Yadav, Vikash; Verma, Monika; Kaushik, Vandana Dixit

doi:10.1109/cicn.2015.51

Cited by 8 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DCT and DWT compression technique are applied for each format and the results show that the size of the compressed image is able to reduce by about 96.92% and 99.8% from its original image, thus a good quality of image have been developed. Moreover, the results obtained show better PSNR value compared to [25], [26] and DCT in [27] while for [28] and [29] shows good PSNR value and compression ratio by applying hybrid method. Therefore, a hybrid compression method is proposed to realize higher compression of the input image and reduce larger space of image's data storage.…”

Section: Resultsmentioning

confidence: 99%

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

Hussin¹,

Po'ad²,

Joret³

2019

IJIE

View full text Add to dashboard Cite

Nowadays, the demands on the usage of wireless network are increasing rapidly from year to year. Wireless network is a large scale of area where many nodes are connecting to each other to commun icate using a device. Primarily, wireless network also tend to be as a link to transmit and receive any multimedia such as image, sound, video, document and etc. In order to receive the transmitted media correctly, most type of media must be compressed before being transmitted and decompressed after being received by the device or else the device used must have the ability to read the media in a compressed way. In this paper, a hybrid compression of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with Huffman encoding technique are proposed for Wireless Sensor Network (WSN) application. Data compression is very useful to remove the redundant data and reduce the size of image. After conducting a comprehensive observation, it is found that hybrid compression is suitable due to the process consist of the combination of multiple compression techniques which suits for Wireless Sensor Network's application focusing on ZigBee platform.

show abstract

Section: Resultsmentioning

confidence: 99%

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

Hussin¹,

Po'ad²,

Joret³

2019

IJIE

View full text Add to dashboard Cite

show abstract

“…Another algorithm development for medical image compression system was reported in [30]. A combination of DWT and DCT methods were used to develop the proposed novel algorithm.…”

Section: Algorithm Development For Medical Image Compressionmentioning

confidence: 99%

“…Thus, a deep research on curvelet transform need to be explored for future works. [13] / PSNR [15] / PSNR and CR [27] / PSNR and CR [28] / PSNR and CR [29] / PSNR and CR [30] / PSNR [31] / PSNR…”

Section: Algorithm Development For Medical Image Compressionmentioning

confidence: 99%

Algorithm development and hardware implementation for medical image compression system: a review

Ja’afar

Ahmad

2020

IJEECS

View full text Add to dashboard Cite

<span>In the high-tech world, medical imaging is very important to diagnose and analyze illness inside human body. The increasing number of patients annually has continuously growth the amount of medical imaging data generated and directly causes a demand for data storage. Generally, medical images are rich with data, where these data are important for diagnosing purpose. However, some of the data represents redundant information and sometimes can be discarded. Thus, the research area on medical image compression dealing with three-dimensional (3-D) modalities need to be given more attention and exploration. The algorithm development using wavelet transform with software implementation are the famous topics explored among researchers, whilst fewer works have been done in utilizing curvelet transform in medical image compression. Along with that, very limited hardware implementation of 3-D medical image compression is discovered. In term of performance evaluation, most of the previous works conducted objective test compared with subjective test. To fill in this gap, medical image compression system will be reviewed, with the aim to identify the recent method used in medical image compression system. This paper thoroughly scrutinizes the recent advances in medical image compression mainly in terms of compression method, algorithm development with software and hardware implementations and performance evaluation. In conclusion, the overall picture of the medical image compression landscape, where most of the researchers more focused on algorithm development or software implementations without having the combination of software and hardware implementations.</span>

show abstract

“…In [10] the authors present a strategy to increase the compression ratio with simple computational burden and excellent decoded quality. Higher compression ratio is achieved by applying different compression thresholds for the wavelet coefficients of each DWT band (LL and HH) while DCT transform is applied on (HL and LH) bands with preserving the quality of reconstructed medical image.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

Lossless Image Compression using Shift coding

Farhan¹,

Awad²,

Khalaf³

2018

IJCA

View full text Add to dashboard Cite

The development of multimedia and digital imaging has led to high quantity of data required to represent modern imagery. This requires large disk space for storage, and long time for transmission over computer networks, and these two are relatively expensive. These factors prove the need for images compression. Image compression addresses the problem of reducing the amount of space required to represent a digital image yielding a compact representation of an image, and thereby reducing the image storage/transmission time requirements. The key idea here is to remove redundancy of data presented within an image to reduce its size without affecting the essential information of it. We are concerned with lossless image compression. In this paper our proposed approach is a mix of a number of already existing techniques. Our approach works as follows: first, we deal with colors Red, Green, and Blue separately, what comes out of the first step is forward to the second step where the zigzag operation is to rearrange values to be more suitable for preprocessing. At the final, the output from the zigzag enters to the shift coding. The experimental results show that the proposed algorithm could achieve an excellent result in lossless type of compression losing data.

show abstract

A Hybrid Image Compression Technique for Medical Images

Cited by 8 publications

References 5 publications

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

A Comparative Study on Improvement of Image Compression Method using Hybrid DCT-DWT Techniques with Huffman Encoding for Wireless Sensor Network Application

Algorithm development and hardware implementation for medical image compression system: a review

Lossless Image Compression using Shift coding

Contact Info

Product

Resources

About