European conference on computer vision (ECCV)

In this paper, a novel robust color image watermarking method based on Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) is proposed. In this method, RGB cover image is divided into red, green and blue components. DCT and DWT are applied to each color components. Grayscale watermark image is scrambled by using Arnold transform. DCT is performed to the scrambled watermark image. Transformed watermark image is then divided into equal smaller parts. DCT coefficients of each watermark parts are embedded into four DWT bands of the color components of the cover image. The robustness of the proposed color image watermarking has been demonstrated by applying various image processing operations such as rotating, resizing, filtering, jpeg compression, and noise adding to the watermarked images. Experimental results show that the proposed method is robust to the linear and nonlinear attacks and the transparency of the watermarked images has been protected.

A novel hybrid DCT and DWT based robust watermarking algorithm for color images

Ubiquitous motion blur easily fails multi-frame super-resolution (MFSR). Our method proposed in this paper tackles this issue by optimally searching least blurred pixels in MFSR. An EM framework is proposed to guide residual blur estimation and high-resolution image reconstruction. To suppress noise, we employ a family of sparse penalties as natural image priors, along with an effective solver. Theoretical analysis is performed on how and when our method works. The relationship between estimation errors of motion blur and the quality of input images is discussed. Our method produces sharp and higher-resolution results given input of challenging low-resolution noisy and blurred sequences.

Handling Motion Blur inMulti-Frame Super-Resolution

Steganography is one of the well-known data hiding methods, which is used in many security companies and government communications. In this technique, the various types of digital media can be used as a cover to hide secret information without impress the general form of them. Generally, key space and security are two important matters in most steganography methods, and they have the direct impact in proposed method’s security. Moreover, Chaotic maps have been used in many data hiding algorithms to increase the security and key space of proposed schemes. The main reasons of using chaotic maps in steganography methods are sensitivity to initial conditions and control parameters. This paper proposes a new steganography technique based on new 3d sine chaotic map. This map is used in embedding and extracting processes to increase the security of the proposed algorithm. Satisfactory performance, acceptable image distortion and stronger robustness against some attacks are the main features of proposed method, and they are shown in experimental results. Comparison with some existing method shows that the quality and performance of the proposed algorithm are good, and it has high security and acceptable robustness against cropping and salt & pepper attacks.

An integer wavelet transform image steganography method based on 3D sine chaotic map

https://research.edgehill.ac.uk/files/46422294/1_s2.0_S1566253521001792_main.pdf

Real-world single image super-resolution: A brief review

Multi-frame image super-resolution focuses on reconstructing a high-resolution image from a set of low-resolution images with high similarity. Combining image prior knowledge with fidelity model, the Bayesian-based methods have been considered as an effective technique in super-resolution. The minimization function derived from maximum a posteriori probability (MAP) is composed of a fidelity term and a regularization term. In this paper, based on the MAP estimation, we propose a novel initialization method for super-resolution imaging. For the fidelity term in our proposed method, the half-quadratic estimation is used to choose error norm adaptively instead of using fixed $L_{1}$ and $L_{2}$ norms. Besides, a spatial weight matrix is used as a confidence map to scale the estimation result. For the regularization term, we propose a novel regularization method based on adaptive bilateral total variation (ABTV). Both the fidelity term and the ABTV regularization guarantee the robustness of our framework. The fidelity term is mainly responsible for dealing with misregistration, blur, and other kinds of large errors, while the ABTV regularization aims at edge preservation and noise removal. The proposed scheme is tested on both synthetic data and real data. The experimental results illustrate the superiority of our proposed method in terms of edge preservation and noise removal over the state-of-the-art algorithms.

Robust Multi-Frame Super-Resolution Based on Spatially Weighted Half-Quadratic Estimation and Adaptive BTV Regularization

The copyright protection for 3D multimedia has attracted considerable attention and depth-image-based rendering (DIBR) has been playing a critical role in 3D content representation due to its numerous advantages. In this paper, we propose a new blind watermarking scheme for DIBR 3D images. Considering the directional multiresolution image representation and convenient tree structures of contourlet transform (CT), we perform the watermark embedding and extraction in contourlet domain. The center view and the depth map are available at the content provider side. After applying contourlet transform to the center view, we embed the watermark into the selected contourlet subbands of the center view by quantization on certain contourlet coefficients. The virtual left and right views are generated from the watermarked center view and the associated depth map using DIBR technique at the receiver side. The statistical differences between quantized and unquantized contourlet coefficients are used for watermark extraction. The watermark can be detected with a low bit error rate (BER) from the center view, the left and right views even when each view is distorted and distributed separately. The simulation results demonstrate that the proposed scheme is very robust to image compression, noise addition and geometric attacks such as rotation, scaling and cropping. Moreover, the proposed scheme has good performance in terms of depth image variation and baseline distance adjustment. HighlightsA novel blind watermarking scheme for depth-image-based rendering 3D images is proposed.The watermark embedding and extraction are performed in contourlet domain.The watermark can be detected with a low bit error rate from the watermarked center view, and the synthesized left and right views even when each view is distorted and distributed separately.The proposed scheme is robust to geometric attacks and common DIBR processing.

Robust contourlet-based blind watermarking for depth-image-based rendering 3D images

In this paper, we first propose a new blind image watermarking scheme robust to geometric attacks and compressions. The scheme is based on contourlet transform (CT) and principal component analysis (PCA). The scheme uses the principal components of the largest contourlet coefficients of the last directional subband of the cover image to embed the watermark. Meanwhile, with the noise visibility function (NVF), the watermarking strength is adjusted adaptively to preserve the perceptual quality of the image. The watermark can be detected with high accuracy after various possible distortions. The normalized correlation (NC) between the original watermark and the watermark extracted from the distorted watermarked image is used as the robustness evaluation criterion. The simulation results demonstrate that the proposed scheme has good performance in terms of both quality and robustness against a variety of image-processing attacks, such as rotation, scaling and image compressions. Then we extend the scheme to blind video watermarking. The performance of the video watermarking scheme is evaluated against video attacks like rotation, frame averaging, noise additions and video compressions. The introduction of the CT produces robustness against image and video compressions, and the PCA yields resistance to geometric attacks.

Contourlet-based image and video watermarking robust to geometric attacks and compressions

Perceptual quality assessment of distorted stereoscopic images has attracted considerable attention and become an important yet challenging task in 3D multimedia applications. In this paper, we propose a blind/no-reference stereoscopic 3D image quality assessment scheme that utilizes binocular visual characteristics. The design of this scheme is motivated by studies on the perception of distorted stereoscopic images. The major technical contribution of this paper is the introduction of binocular features and binocular energy for stereoscopic image quality prediction. To be more specific, the proposed scheme extracts the local magnitude, local phase and visual saliency from a stereopair as binocular features. In addition, the binocular energy responses are also obtained as quality-predictive features. After feature extraction, a statistical regression model is used to map the features of distorted stereoscopic image to its subjective quality score. The effectiveness of the designed metric is verified on the publicly available 3D image quality assessment databases. Experimental results show that the proposed scheme achieves superiority over other related algorithms in terms of consistent alignment with subjective assessment of stereoscopic 3D images.

No-reference perceptual quality assessment of stereoscopic images based on binocular visual characteristics

The invention discloses a carrying device of three advance geology forecasting instruments on a TBM (Tunnel Boring Machine). The carrying device comprises a transmission supporting and shock absorption device, a telescopic transmission system and an instrument cabin protection device, wherein the transmission supporting and shock absorption device is convenient for carrying power supplying/measuring electrodes, and installing seismic wave vibration exciters and a seismic wave sensor on a TBM cutter disk; the telescopic transmission system is convenient for carrying an oblique single-hole geology radar transmitting and receiving antenna above a TBM rear support; the instrument cabin protection device plays a protection role when the TBM is in boring operation and is convenient for carrying an instrument cabin controlling the whole detection work at the inner part of the TBM rear support. According to the carrying device disclosed by the invention, the integration of detection instruments and the TBM is realized, the detection space and the detection time of a full-face excavation tunnel are fully utilized, the detection instruments are automatically and quickly distributed on a working surface of the TBM, an advance detection hole is drilled, the three advance geology forecasting instruments are successfully carried, the detection efficiency of advance geology forecasting and the automation and rapidity level are increased, and the advance geology forecasting capacity of the TBM is obviously enhanced.

Chen Lei

Papers

Robust Multi-Frame Super-Resolution Based on Spatially Weighted Half-Quadratic Estimation and Adaptive BTV Regularization

Robust contourlet-based blind watermarking for depth-image-based rendering 3D images

Contourlet-based image and video watermarking robust to geometric attacks and compressions

No-reference perceptual quality assessment of stereoscopic images based on binocular visual characteristics

Carrying device of three advance geology forecasting instruments on TBM (Tunnel Boring Machine)