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The High Efficiency Video Coding (HEVC) standard provides a large improvement in terms of compression efficiency in comparison to its predecessors, mainly due to the introduction of new coding tools and more flexible data structures. However, since much more options are tested in a Rate-Distortion (R-D) optimization scheme, such improvement is accompanied by a significant increase in the encoding...
With the recent advances in stereoscopic display technologies, the demand for developing efficient stereo image coding techniques has increased. While most of the existing approaches have been proposed and studied in the case of monochrome stereo images, we are interested in this paper in compressing color stereo data. More precisely, we design a multiscale decomposition, based on the concept of vector...
In visual sensor networks, local feature descriptors can be computed at the sensing nodes, which work collaboratively on the data obtained to make an efficient visual analysis. In fact, with a minimal amount of computational effort, the detection and extraction of local features, such as binary descriptors, can provide a reliable and compact image representation. In this paper, it is proposed to extract...
A new technique for the filling-in of missing blocks in wireless transmission of block based compressed images is proposed. By intentionally (and automatically) dropping image blocks and using filling-in approach, the performance of the compression ratio can be improved. The approach removes only partial regions in the image and generates a smaller image of same size as the original. This provides...
In current media-centric society, video has become the suitable cover for steganography. However, video steganalysis remains largely unexplored compared to the mature image steganalysis. One open problem is how to design efficient rich features for video steganalysis by exploiting the correlations in video. In this paper, we propose a novel video steganalytic scheme based on the spatial-temporal correlation...
In this paper, we propose a universal reversible data hiding method for arbitrary red-green-blue (RGB) color filter array (CFA) captured mosaic images. Based on spectral-spatial correlation, a new universal prediction scheme, which automatically calculates the predicted values in the color difference domain according to the corresponding mosaic structure, is first developed to achieve small predicted...
Gyrator transform is a new tool for image encryption. In this paper, the security of image encryption based on random phase encoding in gyrator transform domains was analyzed. For image encryption with single random phase encoding and gyrator transform, the operation of random phase encoding only changes the phase angle of the original secret image instead of the amplitude of the image. So, the encryption...
An efficient two-stage image search method for the extraction of illegal copies on the Internet has been proposed in our previous paper. In the present paper, we propose a criterial image preparation method for more efficient searching in the pre-search stage. It is possible to accelerate searching without omission because the criterial image preparation method provides a criterial image set for the...
This paper proposes a new objective assessment method for image quality based on content complexity and color similarity. Considering that human visual perception is sensitive to color distortion in compressed images due to different content complexity, we analyze the effects of image complexity and color similarity to images quality. Based on above analysis, we propose a method to establish the relationship...
This paper will discuss how to compress the stereo media data in order to avoid getting poor performance when transmitting these data over network. We proposed a novel disparity estimation method for stereo video compression. Based on our method, we overcome some of the defects of phase correlation and improve disparity estimation accuracy on stereo image. From our experiments, the results not only...
The hybrid transform coding scheme that alternates amongst the asymmetric discrete sine transform (ADST) and the discrete cosine transform (DCT) depending on the boundary prediction conditions, is an efficient tool for video and image compression. It optimally exploits the statistical characteristics of prediction residual, thereby achieving significant coding performance gains over the conventional...
This paper considers energy efficient distributed data gathering methods for correlated data field monitoring in multi-hop wireless sensor networks (WSNs) via compressed sensing (CS). This signal compression and acquisition method can be used to exploit the inherent temporal and spatial correlation of the sensor signals. Many existing CS-based data gathering methods exploit correlation structures...
We present a survey of recent research works on multiview image compression and transmission techniques developed for Wireless Multimedia Sensor Networks (WMSNs). We classify them into two categories with respect to the coding methods adopted: (i) in-network processing with joint coding schemes, and (ii) distributed source coding schemes. The survey also includes a comprehensive evaluation of the...
This paper introduces a new image encryption algorithm based on the parametric discrete cosine transform (PDCT). It combines the PDCT with the phase encoding technique to form a double-level encryption and provides high security protection to images with a low computation cost. Simulations and analysis are provided to show the excellent encryption performance of the proposed algorithm in protecting...
Healthcare services are increasingly using medical images and video in their applications. Quality assessment can be performed via image quality evaluation metrics. However, due to the specific nature of the associated data, quality evaluation of medical images poses several issues. In this paper, we provide an insight into medical image quality evaluation, by discussing the issues faced and the current...
Digital images are distorted by processing, transmission, compression etc. We need objective image quality assessment (IQA) to check each processing performance. The objective IQA should be matched to human eyes perceptually. Up to now, a variety of objective IQA measures have been proposed. They are suitable for a specific type of noise images. In this paper we propose a new objective IQA method...
Compressive imaging can acquire image signal in an under-sampled (i.e., under Nyquist rate) representation called measurement. However, measurement compression still has an essential problem in its overall rate-distortion performance. In this paper, we propose a measurement prediction method in which the best predictor is directionally selected in order to reduce the entropy of measurement to be sent...
Fractal based video compression promises to be an attractive technique due to its resolution independence and high compression property. The fractal video coding takes an advantage of self similarity within a frame and also between the successive frames in a video for compression. A new full search motion estimation algorithm is presented in this paper that uses FFT based circular cross-correlation...
Ground based SAR system has many applications in ground structures monitoring. Normally, the radar system is constructed by linear frequency modulation. Pseudo-random code has the properties that its autocorrelation function has sharp peak like noise. In this paper, a new ground based SAR system based on code phase modulation is proposed, and the constructive diagram of ground based pseudo random...
This paper presents a chaotic map based image encoding scheme that allows pixel-level operations to be applied on an image while it remains encoded. Using this image encoding scheme, sensitive images can be manipulated by untrusted public cloud servers. Before the images are uploaded onto the public cloud servers they are encoded using user supplied keys by trusted-cloud servers. We fully describe...
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