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4.4: Selecting stars by waveletWavelet is a sort of Fourier transformation. It separate the images in different spatial frequencies. At high frequencies you find the stars and you also find noise there. At low frequencies, slowly spatial frequencies variation, you found the soft DSO, i.e. nebulas. This advanced technique can be used to do some interesting things with. More information about Wavelet transform: Preparing the NGC 7000 image for star separation:The test image I use is NGC 7000, the California Nebula. The camera is a Nikon D800 DSLR and the lens a Pentax 645 FA 300 mm f/4 ED lens. Exposure 24x240 seconds at ISO 400. This photo is taken in a Bortle Class 4 area. It's in 32 bit floating point format. Flat and photometric color calibrated. The edges has been cropped. In Gimp I have increased the saturation, crank up the gamma a bit and set its base level, that's all. To be continued.
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