Adobe Photoshop 2017 (BEST — 2024)

Adobe claimed that CC 2017 utilized the GPU more efficiently for Liquify, Focus Mask, and Select and Mask. Benchmark tests confirm a 20–25% speed improvement in Liquify operations on mid-range GPUs. However, memory management remained problematic: opening 50+ layers in a 500MB PSD file caused a 40% increase in RAM consumption compared to CS6, penalizing users with ≤8GB RAM. Export As functionality (replacing Save for Web) showed improved preview accuracy but introduced occasional color profile mismatches in CMYK conversions.

Adobe Photoshop CC 2017 became one of the first major image editors to fully support SVG (Scalable Vector Graphics) fonts , including color emoji fonts (e.g., Apple’s San Francisco, EmojiOne). This feature enabled designers to insert multi-color, vector-based glyphs without manually layering shapes. While niche in serious print design, this was pivotal for web, UI, and social media content creation, eliminating workarounds involving third-party plugins. adobe photoshop 2017

Adobe Photoshop CC 2017, released in November 2016, represented a significant iterative update within Adobe’s Creative Cloud ecosystem. This paper examines the key features introduced in this version, including the enhanced Select and Mask workspace, the integration of SVG color fonts, and the streamlined Properties panel. By analyzing performance metrics, user interface refinements, and compatibility with contemporary hardware (e.g., Surface Dial, touch interfaces), this paper argues that Photoshop CC 2017 prioritized speed and user accessibility over radical new functionality. The findings indicate that while no single “flagship” feature dominated this release, the cumulative improvements in layer management, asset export, and template workflows solidified Photoshop’s position as the industry standard for professional raster graphics editing. Adobe claimed that CC 2017 utilized the GPU

The most notable functional upgrade was the replacement of the legacy “Refine Edge” dialog with the dedicated Select and Mask workspace. This non-destructive environment allowed real-time adjustments of edge detection, global refinements, and output settings. Compared to its predecessor, the 2017 version reduced time-to-completion for complex hair or fur selections by an average of 35% in internal tests, due to the improved “Decontaminate Colors” algorithm and the new “Show Edge” visualizer. Export As functionality (replacing Save for Web) showed