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55 results

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Page 1
Vectorcardiogram signal compression: A hybrid approach using discrete wavelet transform and singular vector sparse reconstruction.
Mishra D, Kumar A. Mishra D, et al. J Electrocardiol. 2025 Jul-Aug;91:154042. doi: 10.1016/j.jelectrocard.2025.154042. Epub 2025 Jun 6. J Electrocardiol. 2025. PMID: 40494123
The main objective of this research is to develop an efficient VCG data compression technique to streamline the handling and storage of cardiac data, reducing storage space, bandwidth use, and enhancing data transmission speed. METHODS: T …
The main objective of this research is to develop an efficient VCG data compression technique to streamline the handlin …
An Improved Image Compression Algorithm Using 2D DWT and PCA with Canonical Huffman Encoding.
Ranjan R, Kumar P. Ranjan R, et al. Entropy (Basel). 2023 Sep 25;25(10):1382. doi: 10.3390/e25101382. Entropy (Basel). 2023. PMID: 37895504 Free PMC article.
Of late, image compression has become crucial due to the rising need for faster encoding and decoding. ...In this study, we also developed a hybrid compression model combining the advantages of DWT, CHC and PCA. With the increasing use of image …
Of late, image compression has become crucial due to the rising need for faster encoding and decoding. ...In this study, we al …
Deep learning based medical image compression using cross attention learning and wavelet transform.
Dai F. Dai F. Sci Rep. 2025 Nov 14;15(1):40008. doi: 10.1038/s41598-025-23582-y. Sci Rep. 2025. PMID: 41238565 Free PMC article.
Efficient compression of medical images is vital for telemedicine and cloud-based healthcare, where bandwidth and storage constraints pose significant challenges. Conventional lossless approaches provide limited compression, whereas lossy techniques risk comp …
Efficient compression of medical images is vital for telemedicine and cloud-based healthcare, where bandwidth and storage constraints …
DWT-DCT hybrid scheme for medical image compression.
Singh S, Kumar V, Verma HK. Singh S, et al. J Med Eng Technol. 2007 Mar-Apr;31(2):109-22. doi: 10.1080/03091900500412650. J Med Eng Technol. 2007. PMID: 17365435
In view of the increasingly important role played by digital medical imaging in modern health care, it is necessary for large amount of image data to be economically stored and/or transmitted. There is a need for the development of image compression sy …
In view of the increasingly important role played by digital medical imaging in modern health care, it is necessary for large amount of i …
Modelling and Analysis of Hybrid Transformation for Lossless Big Medical Image Compression.
Xue X, Marappan R, Raju SK, Raghavan R, Rajan R, Khalaf OI, Abdulsahib GM. Xue X, et al. Bioengineering (Basel). 2023 Mar 6;10(3):333. doi: 10.3390/bioengineering10030333. Bioengineering (Basel). 2023. PMID: 36978724 Free PMC article.
Recently, several types of research on lossless medically significant data compression and various steganography methods have been conducted. This research develops a hybrid approach with advanced steganography, wavelet transform (WT), and lossl …
Recently, several types of research on lossless medically significant data compression and various steganography methods …
Digital Image Noise Estimation Using DWT Coefficients.
Pimpalkhute VA, Page R, Kothari A, Bhurchandi KM, Kamble VM. Pimpalkhute VA, et al. IEEE Trans Image Process. 2021;30:1962-1972. doi: 10.1109/TIP.2021.3049961. Epub 2021 Jan 20. IEEE Trans Image Process. 2021. PMID: 33439843
Noise type and strength estimation are important in many image processing applications like denoising, compression, video tracking, etc. There are many existing methods for estimation of the type of noise and its strength in digital images. These methods …
Noise type and strength estimation are important in many image processing applications like denoising, compression, video trac …
Employing New Hybrid Adaptive Wavelet-Based Transform and Histogram Packing to Improve JP3D Compression of Volumetric Medical Images.
Starosolski R. Starosolski R. Entropy (Basel). 2020 Dec 7;22(12):1385. doi: 10.3390/e22121385. Entropy (Basel). 2020. PMID: 33297589 Free PMC article.
The primary purpose of the reported research was to improve the discrete wavelet transform (DWT)-based JP3D compression of volumetric medical images by applying new methods that were only previously used in the compression of two-dimensional (2D) image …
The primary purpose of the reported research was to improve the discrete wavelet transform (DWT)-based JP3D compression of vol …
A hybrid ECG compression algorithm based on singular value decomposition and discrete wavelet transform.
Ahmed SM, Al-Zoubi Q, Abo-Zahhad M. Ahmed SM, et al. J Med Eng Technol. 2007 Jan-Feb;31(1):54-61. doi: 10.1080/03091900500518811. J Med Eng Technol. 2007. PMID: 17365427
Increasing use of computerized ECG processing systems requires effective electrocardiogram (ECG) data compression techniques which aim to enlarge storage capacity and improve data transmission over phone and internet lines. ...The technique has …
Increasing use of computerized ECG processing systems requires effective electrocardiogram (ECG) data compression technique …
Wireless capsule endoscopy color video segmentation.
Mackiewicz M, Berens J, Fisher M. Mackiewicz M, et al. IEEE Trans Med Imaging. 2008 Dec;27(12):1769-81. doi: 10.1109/TMI.2008.926061. IEEE Trans Med Imaging. 2008. PMID: 19033093
Accurately reviewing and reporting this data is a vital part of the examination, but it is tedious and time consuming. Automatic image analysis tools play an important role in supporting the clinician and speeding up this process. ...We then create a feature vector …
Accurately reviewing and reporting this data is a vital part of the examination, but it is tedious and time consuming. Automatic i …
A hybrid model for image forgery detection using deep learning with block and keypoint methods.
Mehrjardi FZ, Zarchi MS. Mehrjardi FZ, et al. Sci Rep. 2026 Feb 26;16(1):11169. doi: 10.1038/s41598-026-41473-8. Sci Rep. 2026. PMID: 41748712 Free PMC article.
This paper presents a novel hybrid model, HDBK, integrating deep learning, block-based, and keypoint-based methods for forgery detection at both image and pixel levels. ...The HDBK model was rigorously evaluated on the CoMoFoD dataset, which includes forgerie …
This paper presents a novel hybrid model, HDBK, integrating deep learning, block-based, and keypoint-based methods for forgery …
55 results