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
rarch.rc: Add accelerators for Open (Ctrl+O) and Fullscreen (Alt+Enter)
ui_win32_resource.h: Add accelerator resource ID definition
win32_common.c: Load accelerators, Localize Win32 menu items to current language, and display shortcut keys
* Now recognises old core used, if compatible.
* If not compatible, compatibile cores are scanned and used.
* Different compatible cores are now enumerated to be selected at will.