Abstract:
The modern era is of digitalization and
thus we want to transmit large data in limited
bandwidth. Today a variety of computer, scientific
and engineering application have difficulty to
store and transmit the large size images. To solve
this problem image compression techniques are
used. Two-dimensional Fourier transform (2DFT)
is used for representing an image. But, the
energy of the coefficients of 2D-FT on the complex
image distributes in the whole frequency domain
also. Typically, the frequency signals are divided
into two parts, i.e., real and imaginary parts. FFT
is used for converting the image into a real image
before applying it to DWT.A Wavelet transform
gives very strong de correlation ability and can be
used for local analysis in time and frequency with
different scales.Wavelet transform have also been
applied to complex image compression, as it is
suitable for non-stationary signal processing. So,
we can use FFT-DWT combine approach for
image compression. This system aims at the
analysis of compression using FFT-DWT by
selecting proper threshold method, better result
for PSNR have been obtained. This paper analyzes
the amount of compression by compression ratio
with the analysis of quality of image using Mean
Square Error (MSE) and Peak Signal to Noise
Ratio (PSNR). Extensive experimentation has been
carried out to arrive at the conclusion.
