Figure 1. Embedding and Retrieval of the watermark
ABSTRACT
In this paper a novel algorithm based on wavelet transform is proposed for digital image watermarking. The algorithm is primarily combinations of TWT (discrete wavelet transform) and modified throsholding scheme to search exact coefficient for watermark embedding. The proposed algorithm gives good results of watermark retrieval also [...]
Read Full Post »
A SEMI FRAGILE CONTENT BASED IMAGE WATERMARKING FOR AUTHENTICATION IN SPATIAL DOMAIN USING DISCRETE COSINE TRANSFORM
Abstract:
A new semi fragile method for embedding watermark data into gray scale images has been proposed. In the proposed scheme, the cover image is partitioned into non-overlapping blocks of size 8 x 8 pixels. The discrete cosine transform of [...]
Read Full Post »
DIMENSIONALITY
REDUCTION IN PCA FOR
FACE RECOGNITION
Training set of face images
which is a subset of JNTU
Face Database ABSTRACT
Face recognition is an
advanced statistical
technology in computer
systems that can assist
recognition of human faces
using principal component
analysis (PCA) by
comparing the given facial
characteristics with the
already available data
(faces). Human faces are
normally upright so they
can be treated as 2-D
images rather than 3-D.
The 2-D facial image can be
converted into a 1-D
vector of pixels and
projected into the principal
components of the feature
space called the
eigenspace projection,
which is calculated from the
eigenvectors of the
covariance matrix derived
from a set of facial images.
The projections
Read Full Post »