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In many multimedia applications, image encryption has to be conducted prior to image compression. This paper proposes an Encryption-then-Compression system using a JPEG XR friendly perceptual encryption method, which enables to be conducted prior to JPEG XR compression. The proposed encryption method can provide approximately the same compression performance as that of JPEG XR compression without...
This paper analyzes a variety of HDRI display algorithms and the best iCAM06 algorithm. Becauce of the limitation of the high frequency information in the mapping of iCAM06 algorithm, we propose an improved strategy, and get a new HDRI display method. By using wavelet transform and inverse wavelet transform as well as wavelet base and wavelet decomposition method, a HDRI picture iss decomposed and...
Currently, the data storage medium in digital form are widely applied in various fields, including in the medical world. The excessive size of the digital medical image digital poses problems in terms of storage and the time to transmit these images through the Internet. To overcome these problems, a digital image compression can be conducted. This procedure is conducted to maintain the image quality...
A suggested digital image compression method is characterized by simplicity of implementation and the lack of computing operations at the stage of prediction. The method includes a procedure of image pixels prediction based on the theory of conditional Markov processes and a coding procedure. The results of testing the algorithm on real images of different classes are presented.
For the needs of pictures, audio and video recordings of the questionable regions or events when security personnel patrol at night, a cost-effective multi-functional flashlight based on SQ680S chip was designed. SQ680S chip has high integration, stable performance. It can provide a good function and quality of multimedia processing functions. The system adopts OV5653 camera to take photos and record...
Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the...
We propose a fast technique for concealment of transmission errors in images. Corrupted regions are restored by texture extrapolation from the surrounding regions logically associated through image segmentation. Areas in the image containing unsharp edges or gradients, which are difficult to segment properly, are the main problem producing artefacts in the result. Therefore, our approach utilizes...
By fusing a sequence of exposure images, we could generate a high dynamic range (HDR) image and enhance the image details. However, to display the HDR image on a low dynamic range (LDR) device, HDR compression is necessary. In the paper, a new method for HDR Compression based on matting Laplacian is proposed. The major assumption behind is that the tone-mapped LDR image must preserve the HDR local...
In this paper, we propose a steganography technique to hide a message in an image. The proposed technique combines the stochastic local search meta-heuristic (SLS) with the least significant bits method (LSB). First, we developed the basic technique of LSB to hide information in JPEG images. We found that LSB steganography method is not effective because the size of the image increases greatly after...
Image forgery detection algorithms are used to verify the authenticity of digital images. In literature, different algorithms have been proposed to detect the authenticity of an image, for example, methods based on copy-move forgery detection, histogram analysis, methods based on color filter array, etc. The objective of this paper is to present an image forgery detection algorithm based on color...
Most texture compression schemes are not able to accurately represent the object edges, since the number of color candidates usually are not sufficient to reconstruct a smooth block. We propose a new hierarchical palette approach for the texture compression. The colors are chosen from palettes and sub-palettes in quad-tree without increasing bit rates. The experimental results show significant improvements...
One of the important missions of AUVs is to take deep-sea images and make maps of sea floor to contribute the understanding of deep-sea biology and geology. The sea floor images include lots of information such as distributions of creatures, minerals and so on. The next mission expected for AUVs is to bring the samples back concurrently with taking interesting photos, autonomously. However, this mission...
This paper presents a robust block-based watermarking scheme for multimedia copyright protection. In this work, we used benefits of domain combination of Singular Value Decomposition (SVD) and Discrete Cosine Transformation (DCT). Our aim was to utilize the favorable properties of both transformations to design of a unique and useful transformation standard algorithm for embedding watermarks into...
Whole-slide images (WSIs) are high-resolution, 2D, color digital images that are becoming valuable tools for pathologists in clinical, research and formative scenarios. However, their massive size is hindering their widespread adoption. Even though lossy compression can effectively reduce compressed file sizes without affecting subsequent diagnoses, no lossy coding scheme tailored for WSIs has been...
Thanks to the increasing number of images stored in the cloud, external image redundancies can be leveraged to efficiently compress images by exploiting inter-images correlations. In this paper, we propose a novel cloud-based image coding scheme. Unlike current state-of-the-art systems, our method relies on a data dimensionality reduction technique. A global compensation is associated to a locally-weighted...
Singular Value Decomposition (SVD) deals with the decomposition of general matrices which has proven to be useful for numerous applications in science and engineering disciplines. In this paper the method of SVD has been applied to mid-level digital image processing. SVD transforms a given matrix into three different matrices, which in other words, means refactoring the digital image into three matrices...
In image processing, the elimination of noise is a highly difficult in research area. It is one of the most important powerful technologies that will form science and engineering in the twenty first century. The broad knowledge, digital image processing is any shape of information processing used for which both input and output are images, such as photographs. Image restoration method is mainly used...
A typical photograph of a natural scene captures ambient uniform illumination of the scene. As a special case, consider a scene in which we try to capture a poorly lit object with a brightly lit background such as the sun. Such a photograph could be visually stunning and is usually called a silhouette photograph. Consider the problem where we would like to generate a silhouette image from any given...
Compression of data, which reduces storage space, bandwidth, complexity etc., has become mandatory for transmission of the same over wireless networks. Beyond traditional compression techniques, the last decade has seen immense development in the field of compressed sensing which projects the captured data to a lower dimensional space. These diminished values are sent to the receiver where special...
Simulations, such as n-body or smoothed particle hydrodynamics, create large amounts of time variant data that can generally only be visualized non-interactively by rendering the resulting interaction into movies from a fixed viewpoint. This is due to the large amount of unstructured data that make these data incapable of either loading into graphics memory or streaming from disk. The presented approach...
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