Author Moris Garon for Gimps.de with photo editor Gimp.
Ancient Alchemists and Gold Diggers used to develop rush addiction to
precious metals like white Gold, fine Silver or pure Platinum.
Modern photographers sell their portrait pictures of famous necks, decorated with 14k white gold chains, and body jewelry gifts at the price of golden coins.
The coloring book of Gimps.de teaches us that, well paid photographers search with eagle eyes for stunning pictures of fall fashion jewelry, Italian charm bracelets on model arms, and gilded price medals on athlete's necks, with intention to make extra money at the speed of flash light.
Prepare the image before applying this stylizing effect.
Smooth, blur or remove photo details like tiny hair streaks, small shadows,
skin spots and goose pimples to avoid unnecessary appearance of this
details in the converted, stylized image.
Dyeing the image can reduce pixel noise in the later editing.
Use the Filters » Colors » Colorify -filter of Gimp
for coloring the picture in Cyan tones, shades of Green or
in the hue of Yellow.
Different coloring tones will result in different stylizing effect in the image. Gimps.de prefers the soft Cyan or tea Green pastels for color photo portraits and Yellow for graphics and cliparts.
Tip: Intelligent woman will try different colors for coloring the image and choose afterwards the best result for this photo stylizing effect of Gimps.de.
Choose the golden gradient to use this gradient for converting
the colors of the picture.
Use Filters » Colors » Map » Gradient Map -filter of the Gimp
to convert all color in the image into shades of Gold.
Tip: Smart woman may also want to try other gradients like purples, greens or pastels to see colorful cool effects on their goldfish photos.
After bluring the pixel noise, nifty expert woman may want to sharpen the image. Use the Filters » Enhance » Unsharp Mask -filter of the Gimp to enhance the sharpness of shapes and contours within the picture.
You may also want to use other Gimp tutorials of Gimps.de to improve colors, brightness, saturation and hue in the converted image.