Introduction to Robust Blind

What is/are Robust Blind?

Robust Blind - In this paper, we propose a robust blind watermarking scheme based on quaternion QR decomposition (QQRD) for color image copyright protection, while using algebraic structure-preserving method to release its computational complexity. ^[1] In this letter, we introduce a deep learning (DL) based misalignment-robust blind receiver (MBR) to recover the received data in a multiple-input multiple-output (MIMO) UWOC system, where a convolutional neural network (CNN) is used to formulate the signal characteristics in model training, a CNN combiner is utilized for characteristic analysis and combination, and a CNN demodulator is applied to recover the transmitted information. ^[2] In this paper, we propose a novel robust blind crypto-watermarking method for medical images security based on hiding of DICOM (Digital Imaging and Communications in Medicine) patient information (patient name, patient ID, patient old…) in the medical imaging. ^[3] Our model of the likelihood sharing cluster provides a physically-meaningful method to calculate the graph's connectivity parameters, thereby leading to a robust blind clustering. ^[4] By analyzing the visual characteristics of TMIs, this work proposes a robust blind visual quality evaluation method for TMIs by using gradient and chromatic statistics (VQGC). ^[5] This paper designs a robust blind audio watermarking scheme based on modifying coefficients in cepstrum domain. ^[6] According to the robustness of digital watermarking, a robust blind watermarking algorithm based on RS coding technology is proposed and implemented. ^[7] This letter presents a robust blind multiband detection (BMD) scheme for cognitive radio (CR). ^[8] In this study, an adaptive robust blind watermarking algorithm by means of optimized quantum genetics (OQGA) and entropy classification-based SVM (support vector machine) is proposed. ^[9] In this paper, a novel robust blind digital image water marking scheme is proposed by jointly using discrete wavelet transform (DWT), stationary wavelet transform (SWT), discrete cosine transform (DCT) and singular value decomposition (SVD). ^[10] Specifically, inspired by the interesting discovery of dark and bright channels in dehazing, the opposite-channel-based discriminative priors are developed and directly integrated to the loss of our advocated deep deblurring model, so as to achieve more accurate and robust blind deblurring performance. ^[11] Here, the authors propose a robust blind digital modulation classification (BDMC) algorithm for space time block coding (STBC)-based MIMO-OFDM system in the presence of carrier frequency offset (CFO) and channel estimation errors. ^[12]

Novel Robust Blind

In this paper, we propose a novel robust blind crypto-watermarking method for medical images security based on hiding of DICOM (Digital Imaging and Communications in Medicine) patient information (patient name, patient ID, patient old…) in the medical imaging. ^[1] In this paper, a novel robust blind digital image water marking scheme is proposed by jointly using discrete wavelet transform (DWT), stationary wavelet transform (SWT), discrete cosine transform (DCT) and singular value decomposition (SVD). ^[2]

robust blind watermarking

In this paper, we propose a robust blind watermarking scheme based on quaternion QR decomposition (QQRD) for color image copyright protection, while using algebraic structure-preserving method to release its computational complexity. ^[1] According to the robustness of digital watermarking, a robust blind watermarking algorithm based on RS coding technology is proposed and implemented. ^[2] In this study, an adaptive robust blind watermarking algorithm by means of optimized quantum genetics (OQGA) and entropy classification-based SVM (support vector machine) is proposed. ^[3]

robust blind digital

In this paper, a novel robust blind digital image water marking scheme is proposed by jointly using discrete wavelet transform (DWT), stationary wavelet transform (SWT), discrete cosine transform (DCT) and singular value decomposition (SVD). ^[1] Here, the authors propose a robust blind digital modulation classification (BDMC) algorithm for space time block coding (STBC)-based MIMO-OFDM system in the presence of carrier frequency offset (CFO) and channel estimation errors. ^[2]