Wavelet Compression/Reconstruction and Visualization of Pulmonary X-Ray Images for Achieving of Asbestosis Infected Patients Data - Visual Computing: Scientific Visualization and Imaging Systems - page 120

a(i,j)

Fig. 6.2 Reconstruction process in the 2D step

Step 5: Repetition of the Steps 3 and 4 until desired level is reached. In the

research, experiments were made to find maximum number of repetition
for standard wavelets.

Step 6: Output of the algorithm is the coefficients' vector. The vector is saved in

storage. Media for saving data can be magnetic or optical.

Two questions are of importance when the vector is storage. The first one is
medical value of the stored data. The second one is how to use it. As stated
previously, medical experts confirmed medical value of data obtained by algo-
rithm. But, to be able to see the images, first images have to be reconstructed from
coefficients' vector. Medical experts cannot evaluate coefficients, but images. So,
the second part of the proposed system is the algorithm for visualization of the
compressed data.
Algorithm for visualization of the compressed data involves reconstruction and
interpolation of coefficients. The proposed reconstruction procedure is illustrated
in Fig. 6.2 . The proposed algorithm is shown in Fig. 6.3 .

Step 1. Input to the algorithm is vector of coefficients stored in previous phase.
This phase is activated when request for visualization occur.
Step 2. Input vector is upsampled by introducing zeros. This is performed col-
umnwise, which means that number of columns is approximately doubled.