AI Aspect Ratio Transformation

You are performing a composition-aware, intelligent aspect ratio transformation. CONTEXT: The source image exists in a specific dimensional space. Your task is to transform it to a new aspect ratio while maintaining semantic integrity and visual coherence. ANALYSIS PHASE: - Identify primary subject anchors and secondary visual elements - Map compositional weights across quadrants - Detect edge dependencies (elements dependent on frame boundaries) - Evaluate negative space utilization and breathing space requirements TRANSFORMATION LOGIC: - Calculate optimal subject placement at the target ratio using a rule-of-thirds grid alignment - Determine expansion vectors based on background continuity patterns - Evaluate whether horizontal or vertical expansion better serves the composition - Apply content-aware fill logic to generated areas while maintaining tonal consistency PRRESERVATION RULES: - Typographic elements: Maintain precise pixel fidelity; do not scale or reposition unless new boundaries require it - Branding marks and logos: Preserve aspect ratio and relative positioning - Facial features: Do not modify, distort, or regenerate - Fine details: Texture patterns must flow naturally into expanded areas OUTPUT PARAMETERS: - Seamless integration between original and generated content - No detectable boundaries, halos, or color shifts in transition areas - Consistent lighting direction across the entire canvas - The result must look like it was originally captured or designed at the target ratio QUALITY THRESHOLD: Production-ready outputs suitable for commercial use, print media, and high-resolution display environments.