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Encryption-then-Compression (EtC) systems have been considered for the user-controllable privacy protection of social media like Twitter and Facebook. The aim of this paper is to evaluate the security of block scrambling-based encryption schemes, which have been proposed to construct EtC systems. Even though this scheme has enough key spaces for protecting brute-force attacks, each block in encrypted...
This paper presents two intra prediction algorithms in High Efficiency Video Coding (HEVC) encoder for reducing the computational complexity and increase the encoding speed. The first algorithm takes advantage of the high spatial correlation among neighboring pixels to substitute the reference samples as the first row or first and second rows of the current block to be predicted, while the pixels...
In recent years, the high resolution, high precision and high sensitivity telescopes have been widely developed for astronomical observation in the world, such as SKA, Arecibo, ALMA and MingantU SpEctral Radioheliograpy (Muser). Along with these newly developed modern telescopes, a “big data” challenge was raised for data storage and processing. For example, Muser produces about 4.3TB raw data for...
Predicting upcoming bands of hyperspectral images is an important task in modern image compression algorithms. This paper proposes a new algorithm to predict the band-wise correlation of hyperspectral images based on a generalized regression neural network (GRNN). The proposed algorithm uses the intensity values of the previous bands to train the GRNN and approximates the correlation between them...
Lenslet images that record both spatial and angular light radiance in a super high definition with distinct macropixel structures desire efficient compression methods for promoting the applications of handheld plenoptic cameras urgently. In this paper, a lenslet image compression method is proposed. First, a reversible image reshaping and adaptive interpolation is proposed to align the macropixel...
Motivated by the question of whether the recently introduced Reduced Cutset Coding (RCC) [1], [2] offers rate-complexity performance benefits over conventional context-based conditional lossless coding for sources with two-dimensional Markov structure, this paper compares several row-centric coding strategies that vary in the amount of conditioning as well as whether a model or an empirical table...
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then we mainly develop three technologies to optimize the 2-D coding structure...
This paper is among the first to adapt automatic jigsaw puzzle solvers, which are methods of assembling jigsaw puzzles, to the field of information security. Block-based scrambling encryption schemes, which have been mainly proposed for Encryption-then-Compression (ETC) systems, have enough key spaces for protecting brute-force attacks. However, each block in encrypted images has almost the same correlation...
Holoscopic imaging is a prospective acquisition and display solution for providing natural and fatigue-free 3D visualization. However, large amount of data is required to represent the 3D holoscopic content. Therefore, efficient coding schemes for this particular type of image are needed. In this paper, an effective coding scheme is proposed by exploring the spatial correlation among the view images...
Graph-based models have recently attracted attention for their potential to enhance transform coding image compression thanks to their capability to efficiently represent discontinuities. Graph transform gets closer to the optimal KLT by using weights that represent inter-pixel correlations but the extra cost to provide such weights can overwhelm the gain, especially in the case of natural images...
Recent trends and also statistics show that the hashing concept has been gaining importance because its application lies in the area of authentication, retrieval and recognition. The proposed hashing method CCQ-CSLBP (Compressed CSLBP with Correlation Coefficient) for authentication utilized correlation coefficient as a weight factor in CSLBP. CSLBP is a texture operator, whose performance is better...
With the development of digital images processing, image inpainting is become one of the most impressive and useful technique. Based on partial derivative equations or texture synthesis, many image inpainting techniques have been proposed. Amano et al. proposed a method that based on eigenspace analyzes, which is called Back Projection for Lost Pixels (BPLP). It obtains the eigenspace from a set of...
Infrared (IR) image sequences are sparse in nature. This feature has been widely applied to IR image compression. In order to improve the recovery accuracy of IR small target image, a novel scheme is presented in this paper. Firstly, IR small target image is represented as a signal with characteristic of block-sparsity. Then, Bayesian framework is employed to model the temporally correlated source...
A Hyperspectral (HS) image provides observational powers beyond human vision capability but represents more than 100 times data compared to a traditional image. To transmit and store the huge volume of an HS image, we argue that a fundamental shift is required from the existing "original pixel intensity"-based coding approaches using traditional image coders (e.g. JPEG) to the "residual"...
In this paper, a novel encryption and decryption method for color images based on the Hadamard transform (HT) and logical modulation has been proposed. Firstly, considering security and efficiency, together, our cryptosystem combined with image compression can reduce encryption time and promote real-time secure image transmission and storage. Then the compressed image is encrypted by logical modulation...
The Discrete Cosine Transform (DCT) and the Graph Fourier Transform (GFT) are ones of the well-known image transform methods designed for images obtained by a single device. This paper proposes a hybrid image transform method designed for a pair of color and depth images. Based on the correlation between the images, the proposed method selects suitable transform either from the DCT or Color-depth...
The growth of the Internet has paved the way for easy access to information, and has contributed to the rapid development of multimedia based applications. This has made security issues very crucial and challenging. Various types of media carry information like image, audio and video and protecting these from unauthorized access is an important area of active research. This paper proposes a methodology...
Visual textures like grass, water etc. consist of dense and random variations in contrast that are perceptually indistinguishable by a human eye. Such textures are costly to encode using image and video codecs. For example, in the state-of-the-art compression standard High Efficiency Video Coding (HEVC), detailed textures typically show relatively strong blurring artifacts at low rates (high QPs)...
Compressive imagers, e.g. the single-pixel camera (SPC), acquire measurements in the form of random projections of the scene instead of pixel intensities. Compressive Sensing (CS) theory allows accurate reconstruction of the image even from a small number of such projections. However, in practice, most reconstruction algorithms perform poorly at low measurement rates and are computationally very expensive...
This paper presents a no reference image (NR) quality assessment (IQA) method based on a deep convolutional neural network (CNN). The CNN takes unpreprocessed image patches as an input and estimates the quality without employing any domain knowledge. By that, features and natural scene statistics are learnt purely data driven and combined with pooling and regression in one framework. We evaluate the...
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