Digital Image Processing : Phone Photo Enhancement
Su, Kai (2013)
Mikkelin ammattikorkeakoulu
2013
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201305219858
https://urn.fi/URN:NBN:fi:amk-201305219858
Tiivistelmä
With technology improving, the photos taken by today’s phone are better than the phone photos taken years ago. It means that we maybe not satisfied with the photos taken by today’s camera phone years later. Another thing, shooting is a good but never be a simple thing. There is a lot of things to consider such as ISO, White balance, Saturation, Metering and so on. Most of time, we fail to get a good image.
The topic of this thesis is analysis this kind of photo in a basic way. Histogram, FFT. Each tool has its own function against these bad images. From histogram diagram, we see the brightness distribution. By FFT we know something about the frequency domain of a image.
As the drawback of JPEG file, the picture itself is not good, some useful information has lost since the image is made. So manually managing these values of the pixels is a good way to try.
Actually, in my thesis, I combine some mathematics when these tools are underway. Such as, make a ellipse filter to fit the frequency spectrogram to reduce more unexpected things.
The topic of this thesis is analysis this kind of photo in a basic way. Histogram, FFT. Each tool has its own function against these bad images. From histogram diagram, we see the brightness distribution. By FFT we know something about the frequency domain of a image.
As the drawback of JPEG file, the picture itself is not good, some useful information has lost since the image is made. So manually managing these values of the pixels is a good way to try.
Actually, in my thesis, I combine some mathematics when these tools are underway. Such as, make a ellipse filter to fit the frequency spectrogram to reduce more unexpected things.