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Article
Quaternion-based image shadow removal
Visual effects such as shadows and highlights appear in photographs due to variations in lighting conditions. Although these effects add more meaning to the images, they pose various problems to specific compu...
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Article
Enhanced bag of visual words representations for content based image retrieval: a comparative study
The exponential growth of digital image data poses numerous open problems to computer vision researchers. In this regard, designing an efficient and more accurate mechanism that finds and retrieve desired imag...
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Article
Open AccessSingle image shadow removal by optimization using non-shadow anchor values
Shadow removal has evolved as a pre-processing step for various computer vision tasks. Several studies have been carried out over the past two decades to eliminate shadows from videos and images. Accurate shad...
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Article
Shadow removal from uniform-textured images using iterative thresholding of shearlet coefficients
Shadows are natural phenomena that appear in images due to inconsistent illumination of the scene being captured. Recently, the need for removal of shadows from images and videos has gained wide attention due ...
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Chapter and Conference Paper
Highly Repeatable Feature Point Detection in Images Using Laplacian Graph Centrality
Image registration is an indispensible task required in many image processing applications, which geometrically aligns multiple images of a scene, with differences caused due to time, viewpoint or by heterogen...
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Article
Open AccessA Hybrid Deep Learning Architecture for Latent Topic-based Image Retrieval
Learning effective feature descriptors that bridge the semantic gap between low-level visual features directly extracted from image pixels and the corresponding high-level semantics perceived by humans is a ch...
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Article
A context-aware semantic modeling framework for efficient image retrieval
In recent years, high-level image representation is gaining popularity in image classification and retrieval tasks. This paper proposes an efficient scheme known as semantic context model to derive high-level ...
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Article
On integrating re-ranking and rank list fusion techniques for image retrieval
This paper aims to unify image re-ranking and rank aggregation strategies to enhance the retrieval precision of content-based image retrieval (CBIR) systems. In general, CBIR systems are concerned with the ret...
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Article
Open AccessImmuno-hybrid algorithm: a novel hybrid approach for GRN reconstruction
Bio-inspired algorithms are widely used to optimize the model parameters of GRN. In this paper, focus is given to develop improvised versions of bio-inspired algorithm for the specific problem of reconstructio...
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Article
Optimizing visual dictionaries for effective image retrieval
Characterizing images by high-level concepts from a learned visual dictionary is extensively used in image classification and retrieval. This paper deals with inferring discriminative visual dictionaries for e...
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Chapter and Conference Paper
Speckle Noise Reduction Using Fourth Order Complex Diffusion Based Homomorphic Filter
Filtering out speckle noise is essential in many imaging applications. Speckle noise creates a grainy appearance that leads to the masking of diagnostically significant image features and consequent reduction ...
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Chapter and Conference Paper
Enhanced Approach for 3d Model Reconstruction from Silhouettes
Silhouette based 3d reconstruction is the method to reconstruct the model of an object using calibrated images of the object taken in a controlled environment. Photos of the object are taken from different vie...
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Article
Computer-Aided Identification of the Pectoral Muscle in Digitized Mammograms
Mammograms are X-ray images of human breast which are normally used to detect breast cancer. The presence of pectoral muscle in mammograms may disturb the detection of breast cancer as the pectoral muscle and ...
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Article
Nonlocal-Means Image Denoising Technique Using Robust M-Estimator
Edge preserved smoothing techniques have gained importance for the purpose of image processing applications. A good edge preserving filter is given by nonlocal-means filter rather than any other linear model b...
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Chapter and Conference Paper
Underlay Aware Resiliency in P2P Overlays
Modern distributed applications that run on P2P overlays need the overlay to be resilient to failures in the underlying communications network. An example application is that of event dissemination where the P...
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Chapter and Conference Paper
Optimal Agendas and Procedures for N-Issue Negotiation: An Inductive Definition
This paper discusses the multi-issue negotiation between two self-interested agents. The outcome of such negotiations depends on the agenda and the negotiationprocedure. While most of the existing works are conce...
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Chapter and Conference Paper
Acquainted Non-convexity Multiresolution Based Optimization for Affine Parameter Estimation in Image Registration
Affine parameter estimation technique applied to image registration is found useful in obtaining reliable fusion of same object’s images taken from different modalities, into single image with strong features....
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Chapter and Conference Paper
Robust Estimation Approach for NL-Means Filter
Edge preserved smoothing techniques have gained importance for the purpose of image denoising. A good edge preserving filter is given by NL-means filter than any other linear model based approaches. Since the ...
