Near-infrared (NIR) band sensors capture digital images of scenes under special conditions such as haze, fog, overwhelming light or mist, where visible (VS) get occluded. However, the NIR contain poor textures and colors different objects in scene, on contrary to VS images. In this article, we propose a simple yet effective fusion approach that combines both produce an enhanced fused image contains better scene details similar image. The proposed first estimates map from relative difference...

Genetic algorithm (GA) is typically used to solve nonlinear model predictive control's optimisation problem. However, the size of search space in which GA searches for optimal control inputs crucial its applicability fast-response systems. This paper proposes accelerating genetic NMPC by learning size. The approach trains a multivariate regression adaptively predict best smallest every cycle. proposed reduces GA's computational time, improves chance convergence better inputs, and provides...

Abstract This paper introduces a novel steganographic technique for H.264 video that achieves an outstanding performance against state-of-the-art steganalysis techniques while maintaining real-time encoding constraints. The proposed embeds the secret message by altering motion vectors (MVs) preserving their local optimality and consistency feature to withstand recently emerged methods. Thanks its macro-block (MB) basis architecture, satisfies constraints, eliminating need wait whole frame or...

Image forensics using sensor photo-response nonuniformity (PRNU) provides a powerful method for associating an image with the camera that captured image. To preserve privacy despite availability of this tool, we present new framework anonymization. We formulate anonymization as feasibility problem subject to multiple constraints seek ensure non-detectability PRNU fingerprint, visual fidelity original image, and compatibility compression. A feasible anonymized is then obtained via projections...

Visible (VS) and near infra-red (NIR) band sensors provide digital images that capture complementary spectral radiations from a scene. Since NIR propagate well through haze, mist, or fog, the captured image contains better scene details compared to VS in such cases. However, are material dependent little information about color texture of scene's objects. To exploit provided by images, we propose fusion approach adaptively injects missing spatial while preserving contents image. The weighted...

To enrich large-scale visual analytics applications enabled by aerial wide area motion imagery (WAMI), we propose a novel methodology for accurately registering geo-referenced vector roadmap to WAMI using the locations of detected vehicles and determining parametric transform that aligns these with network roads in roadmap. Specifically, problem is formulated probabilistic framework, explicitly allowing spurious detections do not correspond on-road vehicles. The registration estimated via...

Vehicle tracking in Wide Area Motion Imagery (WAMI) relies on associating vehicle detections across multiple WAMI frames to form tracks corresponding individual vehicles. The temporal window length, i.e., the number M of sequential frames, over which associations are collectively estimated poses a trade-off between accuracy and computational complexity. A larger improves performance because increased context enables use motion models allows occlusions spurious be handled better. total...

Near-infrared (NIR) band sensors capture achromatic images that contain complementary details of a scene which are diminished in visible (VS) when the is obscured by haze, mist, or fog. To exploit these details, special cameras produced can both VS and NIR bands. Additionally, several sophisticated VS-NIR fusion approaches have been proposed to produce enhanced image with high quality. However, usually encounter heavy computations performed off cameras, limiting its suitableness for...

Modern aerial imaging platforms provide wide-area motion imagery (WAMI) at high spatial and moderate temporal resolutions making feasible a range of new applications. We consider the dual tasks registering WAMI frames to geo-referenced vector road-maps tracking vehicles through progression frames. present novel algorithm that performs these jointly offers improvements in both by exploiting synergy between tasks. Tracking for large number seen urban-area is improved auxiliary information...

We present a novel methodology for accurately registering vector road map to wide area motion imagery (WAMI) gathered from an oblique perspective by exploiting the local associated with vehicular movements. Specifically, we identify and compensate global frame-to-frame in WAMI which then allows ready detection of that corresponds strongly locations moving vehicles along roads. Minimization chamfer distance between these identified network lines provides accurate alignment image frame under...

This paper reports on a novel application of computer vision and image processing technologies to an interdisciplinary project in architectural history that seeks help identify visualize differences between homologous buildings constructed common template design. By identifying the mutations buildings, we assist humanists giving voice contributions myriad additional "authors" for these beyond their primary designers. We develop framework comparing 3D point cloud representations captured...

Steganography is the art and science of hiding data within innocent-looking objects (cover objects). Multimedia such as images videos are an attractive type cover due to their high embedding rates. There exist many techniques for performing steganography in both literature practical world. Meanwhile, definition steganographic capacity multimedia how be calculated has not taken full attention. In this paper, multivariate quantized-Gaussian-distributed multimedia, we study maximum achievable...

An efficient joint compression-encryption technique for JPEG images using nonlinear properties of the arithmetic coder is proposed. The performs both entropy coding and encryption in a single step by manipulating probability maps while preserving syntax structure image. proposed scheme operates on bit-by-bit basis taking into account previously processed data-bits keeping advantages stream block ciphers. implemented Libjpeg-turbo. results demonstrate that attains security level comparable to...

Accurate disparity estimation is a key ingredient required when generating high fidelity novel view from set of input views. In this paper, quality method proposed for synthesis multiple images with large disparities and occlusions. The optimally selects one out three image pairs to estimate the map different regions view. then formed using map. We introduce two elements: a) an enhanced visibility that able segment scene accurately near object boundaries b) backward unilateral bilateral...

<pre>Steganography in multimedia aims to embed secret data into an innocent cover object. The embedding introduces some distortion the object and produces a corresponding stego-object. is measured by cost function that determines probability of detection existence embedded data. An accurate definition its relation maximum rate keystone for proper evaluation steganographic system. Additionally, statistical distribution sources follows Gibbs which complex model prohibits thorough...

Abstract Future space missions will rely on novel high-performance computing to support advanced intelligent on-board algorithms with substantial workloads that mandates firm real-time and power constraints requirements. Consequently, these require significantly faster processing beyond the conventional space-grade central unit capabilities. Moreover, they careful selection of target embedded platform from a diverse set available architectures along several implementation tactics map...

We propose a practical combinatorial approach for addressing the challenging task of vehicle tracking in Wide area motion imagery (WAMI) by leveraging pixel accurate co-registered vector road-map. Specifically, guided road network, we obtain sparse trellis graph linking each detection (VD) WAMI frame with reachable VD next frame, which then allows us to enumerate all possible hypotheses tracks. The globally optimal selection tracks over K window is formulated as minimum cost capacitated...

We propose a novel framework for accurate 3D georegistration of wide area motion imagery (WAMI), which is challenging problem because parametric transformations are insufficient aligning WAMI image frames to georeferenced coordinate system in urban areas containing tall buildings and structures. Using structure from (SfM) we estimate point cloud the scene. Independently, also compute precise alignment between roads vector roadmap by detecting locations moving vehicles these with via chamfer...

Unmanned aerial vehicles UAVs perform missions that require precise, fast, and robust maneuvers regardless of the external environmental disturbances. Simple controllers are not adequate enough to meet these constraints. Thus more accurate complex can be used, however, constitute high computational complexity calculations which deplete UAV's battery quickly affect duration conducted missions. In this paper, we propose apply a parameterization technique efficiently simplify hybrid controller,...

Abstract Remote sensing videos captured by Unmanned Aerial Vehicle (UAV) air-born high-resolution cameras require an efficient compression scheme that preserves the details of visual contents while reducing total size data to be managed in real-time. This paper presents a detailed comparison between different open-source implementations for H.264 video scheme. While allow analysts extract more descriptive interpretations and draw conclusive results, increase consequent consumes storage,...