Abstract preview: This paper presents a unified approach to boundary perception. The model consists of a hierarchical system which extracts and groups salient features in the image at different spatial scales. In the f ... more

Abstract preview: This appear describes several texture segmentation algorithm based on deterministic and stochastic relaxation principles, and their implementation on parallel networks. The segmentation problem is pos ... more

Abstract preview: Several texture segmentation algorithms based on deterministic and stochastic relaxation principles, and their implementation on parallel networks are described. The segmentation process is posed as a ... more

Abstract preview: We propose a novel data hiding system where data is embedded in local non-overlapping regions in an image. To survive cropping, the encoder embeds the same data in multiple regions of fixed dimensions ... more

Abstract preview: This paper focuses on modifying the decoder module for an active steganographic scheme to increase the effective data-rate with- out affecting the embedding module. Three techniques are suggested to i ... more

Abstract preview: In matrix embedding (ME) based steganography, the host coefficients are minimally perturbed such that the transmitted bits fall in a coset of a linear code, with the syndrome conveying the hidden bits ... more

Abstract preview: Current image re-sampling detectors can reliably detect re-sampling in JPEG images only up to a Quality Factor (QF) of 95 or higher. At lower QFs, periodic JPEG blocking artifacts interfere with perio ... more

Abstract preview: In the modern age, the proliferation of digital multimedia content has led to it being used as a medium of secure communication. The art of secret communication using a covert medium like images is ca ... more

Abstract preview: Error correction codes of suitable redundancy are used for ensuring perfect data recovery in noisy channels. For iterative decoding based methods, the decoder needs to be initialized with proper confi ... more

Abstract preview: In this paper, we perform double embedding in the quantization index modulation (QIM) framework where a single coefficient is modified twice, using two quantizers, to embed two bits. The motivation be ... more

Abstract preview: In this paper, we propose robust methods to detect image resizing. A common problem affecting most resizing detection algorithms is that they are susceptible to JPEG compression attacks. The reason is ... more

Abstract preview: We propose a robust data-hiding method which can survive a host of global, geometric and image editing attacks. Localized redundant embedding around multiple key-point centered regions are used to pro ... more

Abstract preview: "Seam carving" is a recently introduced content aware image resizing algorithm. This method can also be used for image tampering. In this paper, we explore techniques to detect seam carving ... more

Abstract preview: Our recently introduced JPEG steganographic method called Yet Another Steganographic Scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform (DCT) domain in rand ... more

Abstract preview: Our recently introduced JPEG steganographic method called Yet Another Steganographic Scheme (YASS) can resist blind steganalysis by embedding data in the discrete cosine transform (DCT) domain in rand ... more

Abstract preview: A video "fingerprint" is a feature extracted from the video that should represent the video compactly, allowing faster search without compromising the retrieval accuracy. Here, we use a keyf ... more

Abstract preview: We present further extensions of yet another steganographic scheme (YASS), a method based on embedding data in randomized locations so as to resist blind steganalysis. YASS is a JPEG steganographic te ... more

Abstract preview: In this paper we attempt to quantify the "active" steganographic capacity - the maximum rate at which data can be hidden, and correctly decoded, in a multimedia cover subject to noise/attack ... more

Abstract preview: We present a method to compute the steganographic capacity for images, with odd-even based hiding in the quantized discrete cosine transform domain. The method has been generalized for varying orders ... more

Abstract preview: A new, simple, approach for active steganography is pro- posed in this paper that can successfully resist recent blind steganaly- sis methods, in addition to surviving distortion constrained attacks. ... more

Abstract preview: We present practical approaches for steganography that can provide improved security by closely matching the second-order statistics of the host rather than just the marginal distribution. The methods ... more

Abstract preview: We have investigated adaptive mechanisms for high-volume transform-domain data hiding in MPEG-2 video which can be tuned to sustain varying levels of compression attacks. The data is hidden in the unc ... more

Abstract preview: Print-scan resilient data hiding finds important applications in document security and image copyright protection. This paper proposes methods to hide information into images that achieve robustness a ... more

Abstract preview: In steganography (the hiding of data into innocuous covers for secret communication) it is difficult to estimate how much data can be hidden while still remaining undetectable. To measure the inherent ... more

Abstract preview: In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover and the stego signal d ... more

Abstract preview: The difficult task of steganalysis, or the detection of the presence of hidden data, can be greatly aided by exploiting the correlations inherent in typical host or cover signals. In particular, sever ... more

Abstract preview: The rapid growth in the demand and consumption of the digital multimedia content in the past decade has led to some valid concerns over issues such as content security, authenticity, and digital right ... more

Abstract preview: Image steganography, the covert embedding of data into digital pictures, represents a threat to the safeguarding of sensitive information and the gathering of intelligence. Steganalysis, the detection ... more

Abstract preview: We investigate data hiding techniques that attempt to defeat steganalysis by restoring the statistics of the composite image to resemble that of the cover. The approach is to reserve a number of host ... more

Abstract preview: Print-scan resilient data hiding finds important applications in document security, and image copyright protection. In this paper, we build upon our previous work on print-scan resilient data hiding w ... more

Abstract preview: In this paper we study steganalysis, the detection of hidden data. Specifically we focus on detecting data hidden in grayscale images with spread spectrum hiding. To accomplish this we use a statistic ... more

Abstract preview: Information-theoretic analyses for data hiding prescribe embedding the hidden data in the choice of quantizer for the host data. In this paper, we propose practical realizations of this prescription f ... more

Abstract preview: This paper proposes a method to hide information into images that achieves robustness against printing and scanning with blind decoding. A significant contribution of this paper is a technique to esti ... more

Abstract preview: Quantization index modulation (QIM) techniques have been gaining popularity in the data hiding community because of their robustness and information-theoretic optimality against a large class of attac ... more

Abstract preview: In this paper, we apply the theory of hypothesis testing to the steganalysis, or detection of hidden data, in the least significant bit (LSB) of a host image. The hiding rate (if data is hidden) and h ... more

Abstract preview: This paper provides a summary of our work over the past two years on robust, high-volume data hiding in images. We first present a basic framework for image-adaptive hiding, which allows selection of ... more

Abstract preview: We consider the problem of hiding images in images. In addition to the usual design constraints such as imperceptible host degrada-tion and robustness in presence of variety of attacks, we impose the ... more

Abstract preview: In this paper we consider a hypothesis testing approach for detection of hiding in the least significant bit (LSB). This steganalysis problem is a composite hypothesis test-ing problem. We state a reg ... more

Abstract preview: Information-theoretic analyses for data hiding prescribe embedding the hidden data in the choice of quantizer for the host data. In this paper, we consider a suboptimal implementation of this presc ... more

Abstract preview: Information-theoretic analyses for data hiding prescribe em-bedding the hidden data in the choice of quantizer for the host data. In this paper, we consider a suboptimal implementation of this prescri ... more

Abstract preview: Digital data hiding is a technology being developed for multimedia services, where significant amounts of secure data is invisibly hidden inside a host data source by the owner, for retrieval only by ... more

Abstract preview: We propose a video data embedding scheme in which the embedded signature data is reconstructed without knowing the original host video. The proposed method enables high rate of data embedding and is r ... more

Abstract preview: A new technique for embedding image data that can be recovered in the absence of the original host image, is presented. The data to be embedded, referred to as the signature data, is inserted into t ... more

Abstract preview: This paper describes a robust data embedding scheme which uses noise resilient channel codes based on multidimensional lattice structures. Compared to prior work in digital watermarking, the propose ... more

Abstract preview: We describe a data hiding technique which uses noise resilient channel codes based on multidimensional lattices. A trade-off between the quantity of hidden data and the quality of the watermarked imag ... more

Abstract preview: An approach to embedding gray scale images using a discrete wavelet transform is proposed. The proposed scheme enables using signature images that could be as much as 25% of the host image data and ... more

Abstract preview: We present in this chapter applications of condition theory for image registration problems in a general framework that is easily adapted to a variety of image processing tasks. After summarizing the ... more

Abstract preview: The first major contribution of this paper is a robust method to learn the photometric mapping between the overlapping portions of two registered images acquired either under different lighting condit ... more

Abstract preview: In this paper we present a new physically motivated curve/region descriptor based on the solution of Helmholtz's equation. The descriptor we propose satisfies the six principles set by MPEG-7: it ... more

Abstract preview: Image registration is the process of establishing correspondences between two or more images taken at different times, from different viewpoints, under different lighting conditions, and/or by differe ... more

Abstract preview: We propose an algorithm to process images using their local information. Each image is tiled with overlapping neighborhoods. Then, each region is enhancement independently. The overlapping tiles are t ... more

Abstract preview: A RANSAC based procedure is described for detecting inliers corresponding to multiple models in a given set of data points. The algorithm we present in this paper (called multiRANSAC) on average perfo ... more

Abstract preview: This paper presents an axiomatic approach to corner detection. In the first part of the paper we review five currently used corner detection methods (Harris-Stephens, Forstner, Shi-Tomasi, Rohr, and K ... more

Abstract preview: In this paper, we propose an affine-invariant method for describing and matching curves. This is important since affine transformations are often used to model perspective distortions. More specifical ... more

Abstract preview: In this paper we present a new physically motivated curve descriptor based on the solution of Helmholtz's equation. The descriptor satisfies the six principles set by MPEG-7: it has a good retrie ... more

Abstract preview: Selecting salient points from two or more images for computing correspondences is a fundamental problem in image analysis. Three methods originally proposed by Harris et al., by Noble et al. and by Sh ... more

Abstract preview: Selecting salient points from two or more images for computing correspondence is a well studied problem in image analysis. This paper describes a new and effective technique for selecting these tiepoi ... more

Abstract preview: Image registration is an important operation in remote sensing applications that basically involves the identification of many control points in the images. As the manual identification of control poi ... more

Abstract preview: Image registration is the process of matching two images so that corresponding coordinate points in the two images correspond to the same physical region of the scene being imaged. It's an import ... more

Abstract preview: Peer group image processing identifies a "peer group" for each pixel and then replaces the pixel intensity with the average over the peer group. Two parameters provide directly control over ... more

Abstract preview: In the first part of this work, peer group filtering(PGF), a nonlinear algorithm for image smoothing and impulse noise removal in color images is presented. The algorithm replaces each image pixel wi ... more

Abstract preview: Image registration is one of the basic image processing operations in remote sensing. With the increase in the number of images collected every day from different sensors, automated registration of mu ... more

Abstract preview: Image Registration is concerned with establishment of correspondence between images of the same scene. One challenging problem in this area is the registration of multispectral multisensor images. In ... more

Abstract preview: In the image fusion scheme presented in this paper, the wavelet transforms of the input images are appropriately combined, and the new image is obtained by taking the inverse wavelet transform of the ... more

Abstract preview: The 3-D multimodality brain image registration algorithm proposed in this paper is based on the matching of feature curves which are defined by the intersections of the interhemispherical fissure pla ... more

Abstract preview: In this paper we present a contour-based multisensor image registration scheme which uses region boundaries and other strong edges as matching primitives. Chain code correlation and other shape simil ... more

Abstract preview: We propose the use of texture motifs, or characteristic spatially recurrent patterns for modeling and detecting geospatial objects. A method is proposed for learning a texture motif model from object ... more

Abstract preview: A fundamental challenge in applying texture features to statistical object modeling is recognizing differently oriented spatial patterns. Rows of moored boats in remote sensed images of harbors should ... more

Abstract preview: We describe recent research into using the visual primitive of texture to analyze and manage large collections of remote sensed image and video data. Texture is regarded as the spatial dependence of p ... more

Abstract preview: Texture remains largely underutilized in the analysis of remote sensed datasets compared to descriptors based on the orthogonal spectral dimension. This paper describes our recent efforts towards usin ... more

Abstract preview: Texture has been recognized as an important visual prim-itive in image analysis. A widely used texture descrip-tor, which is part of the MPEG-7 standard, is that com-puted using multiscale Gabor filte ... more

Abstract preview: This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multiple scales are estimat ... more

Abstract preview: A new method for unsupervised segmentation of color-texture regions in images and video is presented. This method, which we refer to as JSEG, consists of two independent steps: color quantization a ... more

Abstract preview: MPEG7 standardization work has started with the aims of providing fundamental tools for describing multimedia contents. MPEG7 defines the syntax and semantics of descriptors and description schemes so ... more

Abstract preview: This paper presents an overview of color and texture descriptors that have been approved for the Final Committee Draft of the MPEG-7 standard. The color and texture descriptors that are described in t ... more

Abstract preview: A compact color descriptor and an efficient indexing method for this descriptor are presented. The target application is similarity retrieval in large image databases using color. Colors in a given re ... more

Abstract preview: Image texture is useful in image browsing, search and retrieval. A texture descriptor based on a multiresolution decomposition using Gabor wavelets is proposed. The descriptor consists of two parts: ... more

Abstract preview: Image texture is an important visual primitive in image search and retrieval applications. To characterize texture information of images, a texture descriptor is proposed to capture both the perceptua ... more

Abstract preview: A method of rotation-invariant texture classification based on a complete space-frequency model is introduced. A polar, analytic form of a two-dimensional (2-D) Gabor wavelet is developed, and a multi ... more

Abstract preview: A texture-based image retrieval system for browsing large-scale aerial photographs is presented. The salient components of this system include texture feature extraction, image segmentation and grou ... more

Abstract preview: We present an implementation of a system for content- based search and retrieval of video based on low-level vision features. Currently the system consists of three parts, automatic video partition, f ... more

Abstract preview: During the past few years several interesting applications of eigenspace representation of images have been proposed. These include face recognition, video coding, and pose estimation. However, the ... more

Abstract preview: Currently there are quite a few image retrieval systems that use color and texture as features to search images. However, by using global features these methods retrieve results that often do not ma ... more

Abstract preview: Derivation of the Gabor Filter Dictionary parameters