Image Processing Basics - Digital Signal Processing: Fundamentals and Applications - page 765

c. Continue and write a MATLAB program for decoding with the following features: (1)
invert the scaling process for quantized DCT coefficients; (2) perform the inverse DCT
for each 8 8 image block; (3) recover the image.
d. Run the developed MATLAB program to examine the image quality using
I. The quality factor
II. The quality factor 5
III. The quality factor 10

14.42. Given the image data “cruiseorg.tiff”, perform wavelet-based compression by completing
the following steps:
a. Convert the image to grayscale.
b. Write a MATLAB program for encoding with the following features: (1) use an 8-tap
Daubechies filter; (2) apply the two-level DWT; (3) perform 8-bit quantization for
subbands LL2, LH2, HL2, HH2, LH1, HL1, and HH1 for simulation.
c. Write the MATLAB program for the decoding process.
d. Run the developed MATLAB program to examine the image quality using the following
methods:
I. Reconstruct the image using all subband coefficients.
II. Reconstruct the image using LL2 subband coefficients.
III. Reconstruct the image using LL2, HL2, LH2, and HH2 subband coefficients.
IV. Reconstruct the image using LL2, HL2, and LH2 subband coefficients.
V.

Reconstruct the image using LL2, HL2, LH2, HH2, LH1, and HL1 subband
coefficients.