Visualization Tools
FLOGVIT.culling includes several visual overlays that help you evaluate image quality without leaving the culling workflow.
Clipping Display
Press J to toggle the clipping overlay:
- Blown highlights are shown in red
- Crushed shadows are shown in blue
This instantly reveals exposure problems. The CLIP indicator appears in the status bar when the overlay is active.
Focus Peaking
Press K to highlight in-focus edges. Sharp areas are outlined with a colored overlay, making it easy to verify focus at a glance — without zooming to 100%.
Especially useful when shooting wide open (shallow depth of field) and you need to confirm which part of the image is sharp.
Shadow Detail
Press O to brighten shadow areas and reveal hidden detail. This is a visual-only overlay — it does not modify the image. Useful for checking if shadows contain recoverable detail or are completely crushed.
Highlight Detail
Press B to reveal detail in bright areas. Like shadow detail, this is visual-only and helps evaluate whether highlights are clipped or contain recoverable information.
Noise Map
Press H to display a noise visualization overlay. High-noise areas are highlighted, helping you decide which images may need noise reduction. Particularly useful for high-ISO shots from events or low-light situations.
Color Channels
Press ` (backtick) to cycle through individual color channels:
- RGB — Normal full-color view
- R — Red channel as grayscale
- G — Green channel as grayscale
- B — Blue channel as grayscale
Viewing individual channels helps identify color noise, chromatic aberration, or channel-specific clipping.
Exposure Compensation
Adjust the visual brightness of the preview without modifying the image:
- + — Brighten by +0.5 EV
- - — Darken by −0.5 EV
- Backspace — Reset to original exposure
The range is ±4.0 EV. An EV indicator appears in the status bar showing the current offset. This is purely a preview tool — the original file is never changed.
Histogram
The histogram in the info sidebar (I) shows the tonal distribution across RGB and luminance channels. Clipping indicators at the edges warn when data is being lost in shadows or highlights.
Sharpness Score
Every image receives an automatic sharpness score based on Laplacian variance analysis. The score appears in the sidebar with a color-coded label (sharp, acceptable, soft). You can sort by sharpness (Ctrl+S) to quickly push out-of-focus shots to the bottom.