My progress on my FYP

My progress on my FYP ~~ for those interested > . < '' my project can be divide into 4 part basically

input -->image processing --> Artificial neural network --> output

Here is part of my hard work on the image processing part, it is done through Discrete Cosine transform. Here is the theory on how it working again . Firstly, the signal originally is in spatial domain. By DCT, we transform it to frequency domain. In frequency domain, the signal is in spectrum form where most of the information of the image is in low frequency. Our eyes also not sensitive to high frequency information, so theoretically we can filter the high frequency out without affect the image. THen IDCT is done to transform it back

so this is the result of filter out the high frequency, because the photo are not really clear after upload, so we cant really c the different at here . But if it is in the computer, the first 1 is the original one and the other is 50% filter on row and coloum ,75% filiter on row and coloum and 87.5 filter on the row and coloum information. The more we filter out, the image will become more "blur"

This is the same image in grayscale >.<

after DCT and IDCT, the feature needed to be trained can be reduced

** will it only make ppl feel ever blur ???