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Compound video compression is crucial for remote control and data assessment. In this paper, we propose a content-aware layered video coding scheme as an attempt to efficiently compress the compound video. In this scheme, the compound video is analyzed and processed progressively at three pyramid levels: block, object and layer. Firstly, the compound video is analyzed by a block type classification...
We propose a segmented PCA based distributed framework exploiting the high correlation and dimensionality reduction properties of PCA in conjugation with the distributed source coding paradigm for onboard hyperspectral image compression. The hybrid scheme deploying Lossy Wyner Ziv coding in conjunction with statistically segmented PCA strategy exploits the two fold intra group and inter group correlation...
We propose a new preprocessing stage destined to convert an ultra spectral image into a speech-like signal that exposes redundancy in such a way that the compression stage removes it more efficiently. In general, preprocessing involves a sequence of reversible operations that in spite of not providing compression they redistribute the input data to better present redundancy in preparation for the...
Estimation of image quality is decisive in the image compression field. This is important in order minimize, induced error via rate allocation. Traditional full-reference algorithms of image quality try to model how Human Visual System detects visua differences and extracts both information and structure of the image. In this work we I propose a quality assessment, which weights the mainstream PSNR...
In this paper we have proposed an image crypto-compression system that guarantees a secure storage and transfer while preserving the performance of the used compression method. Regarding compression, we have chosen to use the discrete cosine transformation (DCT), Huffman coding and RLE because of their efficiency and their use in most current cryptocompression systems. As for encryption, we have made...
Various compression algorithms for multi-channel electroencephalograms (EEG) are proposed and compared. The multi-channel EEG is represented as a three-way tensor (or 3D volume) to exploit both spatial and temporal correlations efficiently. A general two-stage coding framework is developed for multi-channel EEG compression. In the first stage, we consider (i) wavelet-based volumetric coding; (ii)...
We propose a novel approach to reconstruct Hyperspectral images from very few number of noisy compressive measurements. Our reconstruction approach is based on a convex minimization which penalizes both the nuclear norm and the ℓ2,1 mixed-norm of the data matrix. Thus, the solution tends to have a simultaneous low-rank and joint-sparse structure. We explain how these two assumptions fit Hyperspectral...
Perceptual image quality assessment (IQA) is an important research topic of visual signal processing both in its own right and for its utility in designing various optimal image processing and coding algorithms. This work is concerned with an issue that has been largely overlooked by the research community of IQA, that is, the monotonicity, or lack of it, between the subjective scores and the predictions...
In this paper, encryption/decryption of color image is proposed by using Linear Canonical Transform (LCT). The color image is to be encrypted, firstly separated into its three primary channels: red, green, and blue and then each channel are encrypted independently using double random phase encoding technique. The parameters which generate the LCT domain during encryption / decryption are considered...
With the advance of digital photographing technology, large amount of personal photos are created and stored online or in personal computers. To save storage space and transmission bandwidth, we proposed a new photo album compression scheme by using both intra prediction and inter prediction to reduce spatial and temporal redundancy. Specifically, we first cluster the images so that each cluster containing...
In recent years endoscopic video capsules started to be widely employed by gastroenterologists for diagnosis of gastrointestinal pathologies. Even if the current video capsules can provide a good assistance for diagnosis tasks, especially on the small bowel's examination, the necessity of performance's improvement is evident. In order to increase frame rate and reduce energy consumption, a possible...
We demonstrate quantum imaging in real time by measuring quantum noise reduction frame by frame in a moving quantum image. We obtain and reconstruct quantum images using a compressed measurement technique, demonstrating quantum compressive imaging.
The paper proposes a No-Reference (NR) metric to objectively assess the H.264/AVC video quality. The proposed model takes into account the typical artefacts introduced by hybrid block-based motion compensated predictive video codecs as the one related to the H.264/AVC standard. More specifically, these artefacts are the blockiness introduced at the boundaries of each coded block and the temporal flickering...
Multiple videos such as those collected using monitoring and surveillance applications generate large amounts of data. Significant reduction in data-rates are achievable if frames in these video sequences are jointly compressed. This paper describes a compression algorithm that can jointly, pair-wise compress two (or more) video frames by creating one video frame and a difference frame. The difference...
In this paper a new technique is introduced to hide nine images in a color image. The color image has size four as the watermark size. In each of the color image components three images are hidden. Each color component is decomposed by a Discrete Wavelet Transform (DWT) into four components. Three of four components are used to hide the three images. The hiding operation starts with taking the Discrete...
In this paper we present a video coding scheme based on texture synthesis through Directional Empirical Mode Decomposition (DEMD). In this scheme P and B-frames of the video sequence are decomposed and parametrically coded with the help of DEMD algorithm, while I-frames are coded with the help of H.264. All P and B frames are decomposed into Intrinsic Mode Function (IMF) image and its residue. Only...
In this paper, we propose a new approach based on the accordion transform that tends to exploit the both intra and inter frame correlation. The major novelty of the new approach compared to classic one is the dynamic strategy of video frames scan. The direction of the frames scan will depends on a gradient based algorithm which tries to predict the direction where minimal pixels intensities changes...
This report proposes an integer color transform for lossless coding of four color components of images. An existing color transform has a fixed set of coefficients and therefore it can't be adaptive to each image. We utilize eigen-vector of the covariance of the four components to increase data compaction performance. We also utilize fixed relation between two green components to simplify computational...
Compound images/videos are a mixture of text, graphics and natural images/video. Despite extensive research on compound image coding, rare research on compound video coding has been reported in the literature. This paper proposes three approaches to exploit inter-frame correlations in compound video. One is the motion compensation aided base color (MCA-BC) approach, which handles a special type of...
In this paper, new raster scan orders other than the conventional horizontal scan from the top-left corner of the image/slice are proposed to fully exploit content correlation from the regions right to and below the current coding unit. By being applied to each slice/frame adaptively with the conventional one, features influencing the scan order selection are investigated. Different adaptive scan...
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