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>
* for iOS: update launch screen to match UI
* use higher resolution invader
* adjust Y constraint (diff invader body proportion)
* for iOS: update Launch Screen to match app icon/ui
* update iOS icon—match shadow on other platforms
* icon source svgs to media folder for others’ reuse
* iOS App Icon revision, fix asset index mismatch
* Less string copies
* Some general cleanups
* Add extra param to runloop_message_queue_push so we can pass size_t
of the message
* Consistent conventions for local variable usage for certain things
- remove a lot of duplicated code across mac/ios/appletvos
- restore ability to use either login or app_store_connect_api_key
- pull version string from version.all instead of app store connect
- allow building from alternate branch
- allow skipping upload or making it publicly available
LibretroAdmin