A New Coding Mode for Hybrid Video Coders Based on Quantized Motion Vectors AbstractThe rate allocation tradeoff between motion vectors and transform coefficients has a major importance when it comes to efficient video compression. This paper introduces a new coding mode for an H.264/AVC-like video coder, which improves the management of this resource allocation….
A new data hiding method based on chaos embedded genetic algorithm for color image Abstract? A new data hiding method based on chaos embedded. genetic algorithm for color imageData hiding algorithms, which have many methods describing in the literature, are widely used in information security. In data hiding applications, optimization techniques are utilized in order…
A new fusion model for classification of the lung diseases using genetic algorithm Abstract? Automatic classification of lung diseases in computed tomography (CT) images is an important diagnostic tool for computer-aided diagnosis system. In this study, we propose a new image based feature extraction technique for classification of lung CT images. A novel fusion based…
A New Secure Image Transmission Technique via Secret Abstract?A New Secure Image Transmission Technique via Secret. A new secure image transmission technique is proposed, which transforms automatically a given large-volume secret image into a so-called secret-fragment-visible mosaic image of the same size. The mosaic image, which looks similar to an arbitrarily selected target image and…
A New Secure Image Transmission Technique via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations Abstract?A New Secure Image Transmission Technique via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations. A new secure image transmission technique is proposed, which transforms automatically a given large-volume secret image into a so-called secret-fragment-visible mosaic image of the same…
A New Spatial?Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation Abstract-In this paper, a novel local covariance matrix (CM) representation method is proposed to fully characterize the correlation among different spectral bands and the spatial?contextual information in the scene when conducting feature extraction (FE) from hyperspectral images (HSIs). Specifically, our method…
A Novel Approach for Denoising and Enhancement of Extremely Low-light Video Abstract? a novel approach for noise reduction and enhancement of extremely low-light video is proposed. For noise removal, a motion adaptive temporal filtering based on a Kalman structured updating is presented. Dynamic range of denoised video is increased by adjustment of RGB histograms using…
A Novel Approach for Denoising and Enhancement of Extremely Low-light Video Abstract:?A Novel Approach for Denoising and enhancement of extremely low-light video is proposed. For noise removal, a motion adaptive temporal filtering based on Kalman structured updating is presented.Dynamic range of denoised video is increased by adjustment of RGB histograms using Gamma correction with adaptive…
A Novel Approach to Segment Skin Lesions in Dermoscopic Images Based on a Deformable Model Abstract? Dermoscopy is an imaging technique that has been widely used in the diagnosis of skin lesions. However, its accuracy largely depends on the dermatologist?s experience; thus, computer-aided diagnosis techniques are required. In this paper, a novel approach based on…
A Novel Color Image Encryption Scheme Using Rectangular Transform-Enhanced Chaotic Tent Maps Abstract– In recent years, the chaos-based cryptographic algorithms have attracted a lot of attention. Specially, chaotic tent map (CTM)-based schemes show some good performances in randomness properties and security level. However, several shortcomings still can be found from them. In this paper, based…
A Novel Data Embedding Method Using Adaptive Pixel Pair Matching Abstract?A Novel Data Embedding Method Using Adaptive Pixel Pair Matching. This paper proposes a new data-hiding method based on pixel pair matching (PPM). The basic idea of PPM is to use the values of pixel pair as a reference coordinate, < Final Year Projects >…
A NOVEL FACTS COMPENSATION SCHEME FOR POWER QUALITY IMPROVEMENT IN WIND SMART GRID Abstract? presents a novel FACTS based Static Switched Filter Compensation (SSFC) scheme. This FACTS SSFC scheme is an effective power quality mitigation, voltage stabilization, power losses reduction and power factor enhancement tool for wind schemes interfaced with Smart Grid-Distribution Networks. The FACTS…