New watermarking algorithm utilizing quaternion Fourier transform with advanced scrambling and secure encryption

Bhatti, Uzair Aslam; Yuan, Linwang; Yu, Zhaoyuan; Li, Jingbing; Nawaz, Saqib Ali; Mehmood, Adeel; Zhang, Kun

doi:10.1007/s11042-020-10257-1

Cited by 32 publications

(6 citation statements)

References 39 publications

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“…The testing of the system suggests that the methodology used can differentiate the liver as having no damage, minimal damage, significant damage, severe damage, and cirrhosis. Additionally, the most widely used approach in this disease diagnosis is image processing [63][64][65][66]. But, this approach fails to detect it until or unless any physical symptoms have appeared in the liver.…”

Section: Defuzzifiermentioning

confidence: 99%

Fuzzy Logic-Based System for Liver Fibrosis Disease

Alkhalifah¹,

Singla²,

Alurise³

2023

CSSE

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The diagnosis of liver fibrosis (LF) is crucial as it is a deadly and life-threatening disease. Artificial intelligence techniques aid doctors by using the previous data on health and making a diagnostic system, which helps to take decisions about patients' health as experts can. The historical data of a patient's health can have vagueness, inaccurate, and can also have missing values. The fuzzy logic theory can deal with these issues in the dataset. In this paper, a multilayer fuzzy expert system is developed to diagnose LF. The model is created by using multiple layers of the fuzzy logic approach. This system aids in classifying the health of patients into different classes. The proposed method has two layers, i.e., layer 1 and layer 2. The input variables used in layer 1 for diagnosing liver fibrosis are Appetite, Jaundice, Ascites, Age, and Fatigue. Similarly, in layer 2, the input variables are Platelet count, White blood cell count, spleen, SGPT ALT (Serum Glutamic Pyruvic Transaminase Alanine Aminotransferase), SGOT ALT (Serum Glutamicoxalacetic Transaminase Alanine Aminotransferase), Serum bilirubin, and Serum albumin. The output variables for this developed system are no damage, minimal damage, significant damage, severe damage, and cirrhosis. This research work also presents the examination of results based on performance parameters. The proposed system achieves a classification accuracy of 95%. Moreover, other performance parameters such as sensitivity, specificity, and precision are calculated as 97.14%, 92%, and 94.44%, respectively.

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Section: Defuzzifiermentioning

confidence: 99%

Fuzzy Logic-Based System for Liver Fibrosis Disease

Alkhalifah¹,

Singla²,

Alurise³

2023

CSSE

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“…Up to now, with the efforts of some experts and researchers, some dual digital watermarking techniques and schemes have been developed one after another, such as the aforementioned robust digital watermarking algorithm [15] [16] based on sum, digital image watermarking algorithm based on wavelet transform and singular value decomposition, color image dual watermarking algorithm based on wavelet transform and so on. It can be said that each of the above algorithms has its own expertise, which mainly depends on the user's research object and specific requirements.…”

Section: Experimental Results and Analysis Of Double Watermarking Schemementioning

confidence: 99%

A Research on Information Security Based on Digital Watermarking

Kim¹,

Baik²

2023

APJCRI

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Researchers in the fields of information security and computer image processing are deeply concerned about digital watermarking technology as piracy of digital products like images, audio, video, and files, which are becoming increasingly serious due to the Internet's rapid development and the media resources' digitalization. By detecting the watermark information embedded in the digital media to identify the media copyright, the copyright of the digital media can be effectively protected. In fact, digital watermarking has important application value in covert communication, bill anti-counterfeiting, digital signature, fingerprint identification, logo implicit authentication, and so on. In this paper, an algorithm-and algorithm-combination-based dual digital watermarking design technique is proposed. Based on a careful examination of the algorithms and algorithms one at a time, this creative proposal combines the two algorithms to achieve efficient embedding and extraction of digital watermarks and to take advantage of the double watermark's security benefits to encrypt the transmission of digital maps, thereby enhancing the security of image transmission. Then, the scheme is tested to prove its feasibility. At the same time, in order to verify the advantages of the scheme, a variety of attack experiments are carried out on the scheme, and the experimental data in the same environment are compared with other dual digital watermarking schemes. Finally, the superiority and robustness of the scheme are obtained, and it is applied and popularized in the military. The emphasis of this paper is to realize the information security of armored mechanized troops. During the battle, armored mechanized units use the positioning system equipped by armored vehicles to snap the geographical environment of the battlefield instantly, and upload the image to the rear combat command center in time through the network, military network, and people's network. In this long-distance transmission process, in order to ensure the security and timeliness of the transmitted images, it is necessary to use encryption technology to protect and verify the military images.

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“…In order to address this issue, with the great success of deep learning in the field of computer vision, numerous researchers have proposed various image rain removal methods based on CNNs [13,14]. A CNN is used to estimate the transmission map or directly predict the clear image [15,16]. These methods have been proved to be efficient and superior to priori-based methods, with significant performance improvement.…”

Section: Related Workmentioning

confidence: 99%

Towards Robust Rain Removal with Unet++

Hu¹,

Sun²,

Yang³

et al. 2023

Computers, Materials &Amp; Continua

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Image deraining has become a hot topic in the field of computer vision. It is the process of removing rain streaks from an image to reconstruct a high-quality background. This study aims at improving the performance of image rain streak removal and reducing the disruptive effects caused by rain. To better fit the rain removal task, an innovative image deraining method is proposed, where a kernel prediction network with Unet++ is designed and used to filter rainy images, and rainy-day images are used to estimate the pixel-level kernel for rain removal. To minimize the gap between synthetic and real data and improve the performance in real rainy image handling, a loss function and an effective data optimization method are suggested. In contrast with other methods, the loss function consists of Structural Similarity Index loss, edge loss, and L1 loss, and it is adopted to improve performance. The proposed algorithm can improve the Peak Signal-to-Noise ratio by 1.3% when compared to conventional approaches. Experimental results indicate that the proposed method can achieve a better efficiency and preserve more image structure than several classical methods.

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New watermarking algorithm utilizing quaternion Fourier transform with advanced scrambling and secure encryption

Cited by 32 publications

References 39 publications

Fuzzy Logic-Based System for Liver Fibrosis Disease

Fuzzy Logic-Based System for Liver Fibrosis Disease

A Research on Information Security Based on Digital Watermarking

Towards Robust Rain Removal with Unet++

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