Results 21 to 30 of about 114 (95)
Texture Classification Using Scattering Statistical and Cooccurrence Features
Texture classification is an important research topic in image processing. In 2012, scattering transform computed by iterating over successive wavelet transforms and modulus operators was introduced. This paper presents new approaches for texture features extraction using scattering transform. Scattering statistical features and scattering cooccurrence
Juan Wang +3 more
wiley +1 more source
An Efficient Reconfigurable Architecture for Fingerprint Recognition
The fingerprint identification is an efficient biometric technique to authenticate human beings in real‐time Big Data Analytics. In this paper, we propose an efficient Finite State Machine (FSM) based reconfigurable architecture for fingerprint recognition.
Satish S. Bhairannawar +3 more
wiley +1 more source
Normal Inverse Gaussian Model‐Based Image Denoising in the NSCT Domain
The objective of image denoising is to retain useful details while removing as much noise as possible to recover an original image from its noisy version. This paper proposes a novel normal inverse Gaussian (NIG) model‐based method that uses a Bayesian estimator to carry out image denoising in the nonsubsampled contourlet transform (NSCT) domain.
Jian Jia +4 more
wiley +1 more source
Fingerprint Classification Combining Curvelet Transform and Gray‐Level Cooccurrence Matrix
Fingerprint classification is an important indexing scheme to reduce fingerprint matching time for a large database for efficient large‐scale identification. The abilities of Curvelet transform capturing directional edges of fingerprint images make the fingerprint suitable to be classified for higher classification accuracy.
Jing Luo +5 more
wiley +1 more source
A Multiresolution Image Completion Algorithm for Compressing Digital Color Images
This paper introduces a new framework for image coding that uses image inpainting method. In the proposed algorithm, the input image is subjected to image analysis to remove some of the portions purposefully. At the same time, edges are extracted from the input image and they are passed to the decoder in the compressed manner.
R. Gomathi +2 more
wiley +1 more source
Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing
Abstract Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals.
Jingchuan Wang +16 more
wiley +1 more source
A Note on Fractional Gabor Systems in L2(ℝ)
In this article, fractional Gabor frames in L2(ℝ) are defined and studied. Also, a finite linear combination of fractional Gabor frames for L2(ℝ) is discussed. It is proved that under certain conditions, a finite linear combination of fractional Gabor frames is a fractional Gabor frame for L2(ℝ).
Dolly Jain +3 more
wiley +1 more source
3D Medical Volume Segmentation Using Hybrid Multiresolution Statistical Approaches
3D volume segmentation is the process of partitioning voxels into 3D regions (subvolumes) that represent meaningful physical entities which are more meaningful and easier to analyze and usable in future applications. Multiresolution Analysis (MRA) enables the preservation of an image according to certain levels of resolution or blurring.
Shadi AlZu′bi +2 more
wiley +1 more source
A Blind Watermarking Using Orthogonal Finite Ridgelet Transform and Fuzzy C-Means
Based on energy distribution analysis of orthogonal FRIT coefficients, a novel digital image watermark embedding and blind detecting algorithm in ridgelet domain is proposed in this paper. Since the ridgelet transform has directional sensitivity and anisotropy, the image is first partitioned into small pieces and the orthogonal FRIT is applied ...
Haiyan Yu 0001, Jiu-Lun Fan 0001
openaire +1 more source

