Andrew Hedges Price Adjustment Equation:
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The Andrew Hedges Price Adjustment calculates the resolution adjusted for price by multiplying the base resolution by a price factor. This helps determine the appropriate resolution based on pricing considerations.
The calculator uses the Andrew Hedges Price Adjustment equation:
Where:
Explanation: The equation provides a simple way to adjust resolution based on pricing considerations while maintaining proportional quality.
Details: Adjusting resolution based on price factors is crucial for optimizing cost-performance ratios in digital imaging, display technologies, and content delivery.
Tips: Enter base resolution in pixels and price factor (unitless). All values must be valid (positive numbers).
Q1: What is a typical price factor range?
A: Price factors typically range from 0.5 to 2.0, but can vary based on specific applications and market conditions.
Q2: How does this relate to PPI (pixels per inch)?
A: While related, this calculation focuses on total resolution rather than pixel density. PPI would require additional physical dimension inputs.
Q3: When should this adjustment be used?
A: This adjustment is useful when balancing resolution quality against cost considerations in digital displays, printing, or content delivery.
Q4: Are there limitations to this equation?
A: The equation assumes a linear relationship between resolution and price, which may not account for all real-world pricing structures.
Q5: Can this be used for video resolution?
A: Yes, the same principle applies to video resolution, though you might calculate horizontal and vertical dimensions separately.