Fractal-wavelet-fusion-based re-ranking of joint roughness coefficients

Image Steganalysis Based on Co-Occurrences of Integer Wavelet Coefficients

We present a steganalysis scheme for LSB matching steganography based on feature vectors extracted from integer wavelet transform (IWT). In integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. Before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...

Fusion of Daubechies Wavelet Coefficients for Human Face Recognition

In this paper fusion of visual and thermal images in wavelet transformed domain has been presented. Here, Daubechies wavelet transform, called as D2, coefficients from visual and corresponding coefficients computed in the same manner from thermal images are combined to get fused coefficients. After decomposition up to fifth level (Level 5) fusion of coefficients is done. Inverse Daubechies wave...

image steganalysis based on co-occurrences of integer wavelet coefficients

we present a steganalysis scheme for lsb matching steganography based on feature vectors extracted from integer wavelet transform (iwt). in integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...

Local fusion of complex dual-tree wavelet coefficients based face recognition for single sample problem

In this paper, we propose a novel face recognition method for the one sample problem. This approach is based on local appearance feature extraction using directional multiresolution decomposition offered by dual tree complex wavelet transform (DT-CWT). It provides a local multiscale description of images with good directional selectivity, effective edge representation and invariance to shifts a...

On the Roughness Fractal Character,

Query Based Adaptive Re-ranking for Person Re-identification

Existing algorithms for person re-identification hardly model query variations across non-overlapping cameras. In this paper, we propose a query based adaptive re-ranking method to address this important issue. In our work, negative image pairs can be easily generated for each query under non-overlapping cameras. To infer query variations across cameras, nearest neighbors of the query positive ...