Fusion of Medical Images using a Wavelet Methodology: A Survey

Yadav, Satya Prakash; Yadav, Sachin

doi:10.5573/ieiespc.2019.8.4.265

Cited by 29 publications

(2 citation statements)

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“…The wavelet transform can continuously adjust the time width and bandwidth of the analysis with the transformation of the frequency [10]. With the continuous increase of the frequency, the corresponding time width decreases and the bandwidth increases, which is in line with the expectation of high-and lowfrequency signal analysis [11]. However, since the time width and bandwidth are only a qualitative description, the wavelet transform cannot quantitatively analyze the analysis results but can only display the overall change trend of the analysis signal and can display the change effect of the signal from the time-frequency domain.…”

Section: Introductionsupporting

confidence: 56%

Three-Dimensional Image Analysis and Training Method of Action Characteristics of Sanda Whip Leg Technique Based on Wavelet Transform

Song

2022

Advances in Multimedia

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The whip leg technique is an indispensable offensive action for high-level Sanda athletes in the competition. In order to improve the effective guidance of the action of Wushu Sanda whip leg, based on wavelet transform, the three-dimensional image analysis of Sanda whip leg technical action characteristics, to explore the movement speed of each link of the attacking leg, the contraction form, and force sequence of major muscles or muscle groups and put forward correct and reasonable movement techniques, is expected to provide theoretical basis and reference for coaches and athletes in the training of Sanda whip leg movement. Based on this, this paper attempts to use the three-dimensional image analysis system and surface electromyography acquisition system from the perspective of wavelet transform to collect the speed of the attacking leg movement and the parameters related to muscle discharge and to quantitatively analyze and evaluate its movements. The sequence of activities of the whip leg strike is hip joint-knee joint-hip joint-knee joint-ankle joint. It is suggested to strictly follow the principle of link movement in practice, and the completion of the whole movement should be relaxed and natural.

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Section: Introductionsupporting

confidence: 56%

Three-Dimensional Image Analysis and Training Method of Action Characteristics of Sanda Whip Leg Technique Based on Wavelet Transform

Song

2022

Advances in Multimedia

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“…High frequency encompasses the image's texture, edges, and outlines. Lower frequency sub-bands contain most of the image's energy; hence, when watermarks are inserted in low-frequency sub-bands, the image's quality may be diminished, but its robustness may be increased [14]. Typically, the human eye cannot detect changes in these sub-bands.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Watermarking and Encryption Techniques for Securing Medical Images

Alhussan¹,

Abdallah²,

Alsodairi³

et al. 2023

Computer Systems Science and Engineering

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Securing medical data while transmission on the network is required because it is sensitive and life-dependent data. Many methods are used for protection, such as Steganography, Digital Signature, Cryptography, and Watermarking. This paper introduces a novel robust algorithm that combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) digital image-watermarking algorithms. The host image is decomposed using a two-dimensional DWT (2D-DWT) to approximate low-frequency sub-bands in the embedding process. Then the sub-band low-high (LH) is decomposed using 2D-DWT to four new sub-bands. The resulting sub-band low-high (LH 1 ) is decomposed using 2D-DWT to four new sub-bands. Two frequency bands, high-high (HH 2 ) and high-low (HL 2 ), are transformed by DCT, and then the SVD is applied to the DCT coefficients. The strongest modified singular values (SVs) vary very little for most attacks, which is an important property of SVD watermarking. The two watermark images are encrypted using two layers of encryption, circular and chaotic encryption techniques, to increase security. The first encrypted watermark is embedded in the S component of the DCT components of the HL2 coefficients. The second encrypted watermark is embedded in the S component of the DCT components of the HH 2 coefficients. The suggested technique has been tested against various attacks and proven to provide excellent stability and imperceptibility results.

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