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Copyright and Reprint Permission: Abstracting is permitted with credit to the source.Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923....
This paper addresses the problem of automatic target recognition (ATR) using inverse synthetic aperture radar (ISAR) images. In this context, we propose a novel approach for feature extraction to describe precisely an aircraft target from ISAR images. In our approach, a visual attention model is adopted to separate the salient regions from the background. After that, the scale invariant feature transform...
High Dynamic Range (HDR) videos are commonly compressed using existing Low Dynamic Range (LDR) coding standards. This necessarily implies a Tone Mapping (TM) stage which aims at reducing the input video range while preserving the most significant scene details. In most cases, a residual sequence is encoded and used at the decoder side to recover the HDR content. The challenge is to efficiently encode...
A new edge-directional image resampling method is proposed. The method uses a weighted sum of two adaptive 4x4 interpolation kernels to construct high-resolution pixels. The weights are chosen according to the local gradient features for each pixel. The interpolation kernels are learned using pairs of low- and high-resolution images taken from LIVE image database. The method has low complexity and...
This paper presents an unmixing method for hyperspectral data containing small targets. Each pixel of the target represent the useful data embedded among a large number of background pixels. With recent technological developments of hyperspectral sensors, the spatial resolution increases, and it is possible to detect some small targets containing few pixels. We propose in this paper a new approach...
Computer-Aided Diagnosis (CAD) for Positron Emission Tomography (PET) brain images is of importance for better quantifying and diagnosing neurodegenerative diseases like Alzheimer Disease (AD). This paper presents new features based on first and second derivatives, computed on brain PET images and aiming at better image classification in the case of AD. Brain images are first segmented into Volumes...
In this paper, we present a comprehensive analysis and comparison of state-of-the-art Contrast Enhancement (CE) evaluation metrics. In this work, we developed a new database consisting of 182 images. The subjective experiments were performed to obtain a preference rating from different observers for the enhanced images using six CE methods selected from different representative categories. The quality...
Accuracy and computational complexity are challenges of stereo matching algorithm. Much research has been devoted to stereo matching based on cost volume filtering of matching costs. Local stereo matching based guided image filtering (GIF) has a computational complexity of O(N). A proposed algorithm focuses on reduction of computational complexity using the concept of fast guided image filter, which...
This paper deals with the blockwise disparity map estimation problem for stereoscopic image coding. Generally, disparities are selected amongst a search area by minimizing a local distortion. In addition the larger the search area is, the more often a better disparity can be chosen and the lower the global distortion is. However, the resulting disparity map containing higher number of idfferent disparities...
Pixels in hyperspectral images are a mixing of source signals. Hyperspectral unmixing is an important issue in image processing. In this paper we consider a linear mixing model. We address the unmixing issue when some "rare" source signals are only present in few mixed pixels. We propose a new method based on Non-negative Matrix Factorization (NMF) with known endmembers' number. This method...
Change detection in aerial images is the core of many remote sensing applications to analyze the dynamics of a wide area on the ground. In this paper, a remote sensing method is proposed based on viewpoint transformation and a modified Kendall rank correlation measure to detect changes in oblique aerial images. First, the different viewpoints of the aerial images are compromised and then, a local...
Handwriting has been known to be a very strong identifying characteristic of an individual and can be considered a behavioural biometric trait. This has made hand writer identification an important area of research. In this paper, a novel offline writer identification system is proposed using ensemble of multi-scale local ternary pattern histogram features. Features are extracted at multiple scales...
Fingerprint enhancement is a critical step in fingerprint recognition systems. There are many existing contact-based fingerprint image enhancement methods and they have their own strengths and weaknesses. However, image enhancement approaches that can be used for contactless fingerprints are rarely considered and the number of such approaches is limited. Furthermore, the performance of existing contactbased...
This paper presents a procedure for user-assisted artifact removal from medical images, namely photographic images of nevi and melanomas. Specifically, we propose an artifact removal procedure based on image representation in the moving frame domain. This domain has been recently introduced in the literature for denoising purposes. We show that in this domain the artifacts are well distinguished from...
Dealing with a reliable face-ageing model has been an interesting topic with many envisioned applications such as those are related to investigation and forensics. Contrary to most previous works which deal with predictive face models, in this work, we propose a model that can estimate one’s appearance in his youth down to it being in the age of 3-4 years. In this proposed approach, the youth face...
Face recognition has been an active research field for a long time, and recently new challenges have arisen in designing cloud-assisted face recognition algorithms. In a cloud assisted face recognition system, mobile devices acquire the data images; then, in order to unbind the cloud face recognition algorithm from the particular features extracted at the mobile device, the images are encoded and...
Multiway Wiener filtering has been inserted in a wavelet framework to enhance spatial details while denoising multidimensional images. An elevated number of rank values is required. A solution is to retrieve the best rank values while minimizing a mean square criterion. In this paper, we justify the adaptation for this purpose of a stochastic optimization method, and we evaluate comparatively a genetic...
Natural images follow statistics inherited by the structure of our physical (visual) environment. In particular, a prominent facet of this structure is that images can be described by a relatively sparse number of features. We designed a sparse coding algorithm biologically-inspired by the architecture of the primary visual cortex. We show here that coefficients of this representation exhibit a power-law...
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