To study varius video data compaction methods using MATLAB
image compression system as a component of a new video monitoring system for a robotic manufacturing line. Your task is to optimize the image compression system so that the reconstructed decompressed images have PSNR of at least 29dB achieved with the minimal possible number of retained transform coefficients.
In particular, assume the image compression system uses the wavelet transform with Daubechies-3 filter-bank. Then, run compression iteratively for the number of decomposition levels J changing from 1 to 9 and apply this to a selection of at least 5 images from the test image folder. Then, for each case, identify the number of retained (non-zero) transform coefficients for which the system achieves the PSNR of 29dB. Finally, by comparing the obtained performance, select the best number of decomposition levels J such that the identified number of retained coefficients is minimal.
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