Election Coverage: Large-Scale Asset Preparation
As part of election coverage at CNN, I prepared and processed a large volume of candidate headshots for on-air and digital use, ensuring consistency and readiness under tight production timelines.
Output
600+ headshots for 2026 election season
Service
Photo Editing
Formats
Broadcast
Quality Control
Color correction and visual balancing applied across all images to maintain broadcast-ready consistency.
Image Standardization
Manual cutouts and framing adjustments to ensure consistent presentation across all candidate assets.
Team Enablement
Created shared guidelines and trained artists to align workflows and improve processing speed across the team.
Candidate Headshots
Challenge:
The images arrived in inconsistent formats, lighting conditions, framing, and quality and not optimized for broadcast standards. This created a high-volume visual problem: every asset needed to be standardized quickly while maintaining visual consistency across rapidly updating election content.
My Role
Processed and standardized high volumes of candidate headshots for election coverage. Completed manual cutouts and color correction for inconsistent submitted imagery
Headshots are used across fullscreens, bannerboards, and studio walls. Clean cutouts and proper color adjustments provide the flexibility needed to ensure they work seamlessly across all platforms. Below are just a few examples of headshot placement on air
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