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Image resolution in modern video processing and display systems are rocketing up in recent years. With the main stream video quality evolving from standard definition to high-definition, and further towards the emerging super high-definition, the bandwidth and power consumption of external memory are becoming serious bottlenecks. In this paper, frequency domain analysis is made on image down-sampling,...
ISO recently published a new image compression standard, JPEG XT, which extends the popular JPEG standard towards higher dynamic range, compression of alpha channels and lossless coding. In part 7 ofJPEG XT, a two-layer lossy image compression for HDR images isintroduced that reconstructs HDR signals by the combination of a baselayer following the legacy JPEG standard, and an extension layer thatenlarges...
Fractal image coding technique is considered as very effective for a higher compression ratio. Despite this method had received much attention because of its high resolution and fast decoding and many other advantages, but it has not been used widely because it requires high computation time for the encoding process. This defect is considered as one of the drawbacks of fractal image coding technique...
Segmentation is one of the most important low-level tasks in image processing as it enables many higher level computer vision tasks like object recognition and tracking. Segmentation can also be exploited for image compression using recent graph-based algorithms, provided that the corresponding contours can be represented efficiently. Transmission of borders is also key to distributed computer vision...
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...
This paper improves a colorization-based image coding using image segmentation and adaptive colorspaces. Recently, various approaches for color image coding based on colorization have been presented. These methods utilize a YCbCr colorspace and transfer the luminance component by a conventional compression method. Then, the chrominance components are approximated from the luminance component using...
In contrast to many image watermarking schemes, the suggested method is implemented in the JPEG compressed domain with no transcoding or decompression. Therefore, this scheme is highly efficient in real-time applications and suitable for multimedia information, which is rarely available in an uncompressed form. The proposed watermarking scheme is very flexible, and can be tailored to meet the requirements...
Video communication through wireless channel has always been a challenging issue. Transmitting the compressed video through erroneous channel may lead to packet loss, eventually degrading the image quality. Thus an error detection and concealment scheme is applied at the decoder. This paper presents the error detection and concealment technique. The research work includes the spatio-temporal error...
In this paper, we propose a novel patch-based face hallucination method that consists of two patch-based sparse autoencoder (SAE) networks and a deep fully connected network (namely traversal network). The SAE networks are used to capture the intrinsic features of low-resolution (LR) images and high-resolution (HR) images in the hidden layers, while the traversal network is used to map features from...
In this paper, we present a novel image codec by leveraging sparse representation strategy for geometric pattern encoding. Specifically, we propose a Multiple Learned Geometric Dictionaries (MLGD) solution to explore various texture patterns of images, and use different dictionaries to encode homogenous smooth components and heterogeneous directional components. Profiting from model proficiency, our...
With the exponential growth in information, “Big Data,” a key question is what to do with this information. A classic possibility is to characterize it through statistics. The perspective in this paper is the opposite, namely that most of the value in the information is in the parts that deviates from the average, that are unusual, atypical. Think of art: The valuable paintings or writings are those...
This paper proposes a filtering approach based on global motion estimation (GME) and global motion compensation (GMC) as pre-processing and post-processing for video CODEC. For the pre-processing of video CODEC, group-of-pictures (GOP), i.e., basic unit for GMC and reference frames are first defined for an input video sequence. Next, GME and GMC are sequentially performed for every frame in each GOP...
In the last few years, visual privacy has become a major problem. Because of this, encrypted image processing has received a lot of attention within the scientific and business communities. Data hiding in encrypted images (DHEI) is an effective technique to embed data in the encrypted domain. The owner of an image encrypts it with a secret key and it is still possible to embed additional data without...
A novel perceptual multiple description coding with randomly offset quantizers (PMDROQ) is proposed. In the proposed PMDROQ method, the input image is partitioned into M subsets, and then obtaining M descriptions. In each description, one subset is directly encoded and decoded with different-small perceptual quantization stepsizes in DCT domain, while other subsets are predictively coded and decoded...
A secure identification scheme for JPEG 2000 code-streams is proposed in this paper. The aim is to securely identify JPEG 2000 images generated from the same original image, without decoding images. Features used for the identification are extracted from header parts in a JPEG 2000 codestream. The proposed scheme does not provide any false negative matches under various compression ratios, while most...
This paper proposes a Modified Multiple Triangular Inequality Elimination (MMTIE) to further reduce the search number of candidate codevectors. The MMTIE adopts the same original search space as the MTIE scheme with the initial best-matched codevector selected by the Initial Index Code Assignment (IICA), and integrates the intersection rule of the Candidate Codevectors Group (CCG) scheme to further...
At low bit-rates, the conventional image coding standards, e.g., JPEG and JPEG 2000, do not have good compression performance due to the insufficiency of coding bits. A common solution to this problem is downsampling before encoding and reconstruction after decoding. Inspired by the wavelet domain downsampling-based compression scheme, we establish an enhanced low bit-rates coding framework by making...
Multicolored Matrix (MCM) Code is a two-dimensional color coded matrix. It consists a sequence of images rendered at an optimum frame rate to transfer simple data between portable devices such as a mobile phone. We introduce an untried channel-less short range communication technology, designed with limitless storage capacity, great structural stability and flexibility due to which it can work in...
Signal communication is the method of sending data from one place to another. Signal compression is the technique, used to reduce the amount of data that must be transmitted in the signal communication. Algorithms that produce better compression ratio and less loss of data in the reconstructed signal are needed for signal compression. This paper presents the wavelet based signal compression algorithm...
One challenge in a video surveillance system is the data rate required to represent digital video. Accordingly, the use of lossy video compression at a compression ratio of 100:1, or higher, is an essential part of any distributed live video system. The ensuing distortion can interfere with the goals of surveillance by confounding both human analysis and computer vision based processing. This paper...
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