Improving quality of medical image compression using biorthogonal CDF wavelet based on lifting scheme and SPIHT coding

Beladgham, Mohammed; Bessaid, Abdelhafid; Lakhdar, Abdelmounaïm Moulay; Taleb‐Ahmed, Abdelmalik

doi:10.2298/sjee1102163b

Cited by 32 publications

(19 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Receiver Operating Characteristic (ROC) Curve illustrates the performance of verification system by plotting the False Rejected rate (FRR) which is given by (19) and measures the proportion of incorrectly rejected genuine patterns, against the false Accepted rate (FAR) which is given by (18) and measures the proportion of incorrectly accepted imposter patterns, at various threshold settings to check the intersection point between FRR and FAR in which the Half Total Error rate (HTER) is calculated using (20) to evaluate the performance of the system [8], [24]:…”

Section: A Verification Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Brainwaves for User Verification using Two Separate Sets of Features based on DCT and Wavelet

George¹,

Hadi²

2018

ijacsa

View full text Add to dashboard Cite

Abstract-This paper discusses the effectiveness of brain waves for user verification using electroencephalogram (EEG) recordings of one channel belong to single task. The feature sets were previously introduced as features for EEG-based identification system are tested as suitable features for verification system in this paper. The first considered feature set is based on the energy distribution of DCT's or DFT's power spectra, while the second set is based on the statistical moments of wavelet transform, three types of wavelet transforms is proposed. Each set of features is tested using normalized Euclidean distance measure for the matching purpose. The performance of the verification system is evaluated using FAR, FRR, and HTER measures. Two publicly available EEG datasets are used; first is the Colorado State University (CSU) dataset which was collected from seven healthy subjects and the second is the Motor Movement /Imagery (MMI) dataset which is a relatively large dataset was collected from 109 healthy subjects. The attained verification results are encouraging when compared with the results of other recent published works, the best achieved HTER is (0.26) when the system was tested on CSU dataset, while the best achieved HTER is (0.16) when the system was tested on MMI dataset for the features which based on the energy of DFT spectra.

show abstract

Section: A Verification Resultsmentioning

confidence: 99%

“…The third type of wavelet transform is bi-orthogonal (Tap9/7), it transforms the input EEG signal by applying three consecutive phases: (i) split phase (ii) lifting phase and (iii) scaling phase [20].…”

Section: ) Statistical Moments Of Discrete Wavelet Transformsmentioning

confidence: 99%

Brainwaves for User Verification using Two Separate Sets of Features based on DCT and Wavelet

George¹,

Hadi²

2018

ijacsa

View full text Add to dashboard Cite

show abstract

“…The wavelet transform that uses functions located both in real space [7,8]. This method is detailed in [9] Beladgam.M et al have used a grayscale image to prove the effectiveness of this method in terms of image evaluation criteria objectives such as the compression ratio , PSNR and MSSIM, where they are compared against other methods. For these reasons, take decision to use this method to transmit a color image in WMSN.…”

Section: A the Compression Methodsmentioning

confidence: 99%

Image Transmission Model with Quality of Service and Energy Economy in Wireless Multimedia Sensor Network

Benlabbes¹,

Benahmed²,

Beladgham³

2016

ijacsa

View full text Add to dashboard Cite

Abstract-The objective of this article is to present the efficiency of image compression in the Wireless Multimedia Sensor Network (WMSN), the method used in this work is based on the lifting scheme coupled with the SPIHT coding to wavelet biorthogonal CDF 9/7. The effectiveness of this technique results in combining two advantages. First it allows saving energy to prolong the life of the network; second, it improves the Quality of Service (QoS) in terms of average throughput, the number of dropped packets, and End-to-End average delay. The authors examined two scenarios of the same network model in NS2 simulator, according to the above critical points of the energy economy and quality of service, the first scenario transmits an original image, and the second sends the compressed image with the used method. The simulation results presented show that the proposed system allows to extend the life of the network and minimizes the consumption of energy; and it can transmit the image in comfortable conditions for QoS of network, reduce the End-to-End average delay, no dropped packet, best average throughput and satisfied for bandwidth.

show abstract

“…In the second step, the method puts the wavelet coefficients into a sorting pass that finds all significant values and encodes their sign. In the third step, the significant coefficients that were found in the sorting pass are put into the refinement pass that uses two bits to exactly reconstruct the value for closing to the real value [24]. …”

Section: Spiht Coding Schemementioning

confidence: 99%

An Improved Downlink MC-CDMA System for Eﬃcient Image Transmission

Bendelhoum¹,

Djebbari²,

Boukli-Hacene³

et al. 2017

JTIT

View full text Add to dashboard Cite

Improving quality of medical image compression using biorthogonal CDF wavelet based on lifting scheme and SPIHT coding

Cited by 32 publications

References 2 publications

Brainwaves for User Verification using Two Separate Sets of Features based on DCT and Wavelet

Brainwaves for User Verification using Two Separate Sets of Features based on DCT and Wavelet

Image Transmission Model with Quality of Service and Energy Economy in Wireless Multimedia Sensor Network

An Improved Downlink MC-CDMA System for Eﬃcient Image Transmission

Contact Info

Product

Resources

About