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- Added 2x1 pixel stretching for C64, VIC and Tandy modes. - Small UI tweaks.
Turn your photos into old school 1980s computer pixel art !
Retro Image Converter turns any image into a vintage computer art - Monochrome Green monitor, 4 color CGA or popular retro machines. The process is automated, you only need to select a retro palette and wait for the conversion to finish. You can save or share the images with friends. Palettes are inspired by historical systems: ★ Monochrome, Amber and Green are based on early PC graphics as displayed on CRT monitors. ★ GameBoy simulates the monochrome LCD handheld ★ Tandy A and B are inspired by the ColecoVision and TRS-80 Color home computers ★ CGA palettes cover most of the variations possible with the PC graphic cards, including custom modes. These palettes feature High and Low-intensity variations. ★ Apple II palette ★ MSX and compatible computers ★ Commodore VIC-20 ★ Sinclair uses the RGB primaries, common on the ZX Spectrum and Teletext ★ C64 matches the Commodore 64 ★ CGA 16 colors uses the full CGA palette ★ Macintosh approximates the first color Mac model ★ Windows is based on the Win 3.1 color palette. ★ Amiga is inspired by the Amiga Workbench default colors. (Hardware and brand names mentioned for identification purposes only. No infringement intended. All trademarks acknowledged.) Details: - Images can be center cropped to a 4:3 aspect ratio, the same as old-school graphics. It's also possible to use the original images, with no cropping. - Images are rendered and saved at low resolutions (ex: 256 x 192 ). They are scaled up for sharing. This is because most messaging apps will compress the images, destroying the pixelated look. - Conversion is done by color matching. Each pixel is mapped to the closest palette color possible. - Dither patterns are calculated, so that a two-color palette (ex: black and white) can simulate an intermediate tone. The same goes for a larger number of colors, where intermediate tones are simulated. - Due to the precise calculations involved, conversions are slow. This ensures good color matching, even when using very limited palettes. - The app doesn't simulate the restrictions of specific graphic modes (ex: color limitations within an ‘attribute’ pixel block). To do: * Image cropping defined by the user, * Option to turn dither on/off, * Option to use accurate resolutions and aspect ratios on some conversions * Simulate attribute limitations