Optimize wastefully encoded raster image files (#18113)

Apply an aggressive set of ultimately deterministic optimizations to
raster image files where an actual file size reduction of not less than
50% was possible without the removal of intrinsic properties such as
alpha channels. Rendered image dimensions were always left unchanged.

The primary mechanisms employed during optimization are:
- PNG color mode conversion from TrueColor to indexed palette
  + Accomplished using NeuQuant neural-net color quantization algorithm
- Stripping of data blocks containing irrelevant information, such as:
  + XMP metadata fields
  + Embedded comment fields
  + ICC color profiles (simple graphics with basic color schemes only)
  + EXIF profiles
- Re-compression using "best" or "smallest" profile presets

All modifications are performed on lossless image formats and closely
visually inspected after processing to ensure no loss of apparent
details or introduction of new, unwanted artifacts.

Toolset used:
- RIOT (Radical Image Optimization Tool), v2024.1.0 64-bit
- AdvanceCOMP (part of the Advance Projects), v2.6 64-bit
- optiPNG, v7.9.1 64-bit
- PNGOUT, v2015.02.13 32-bit

Signed-off-by: Peter J. Mello <admin@petermello.net>

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