Image stack rendering modes

Last updated on Oct 6, 2026

Find all the stack modes with formulas and use cases for noise reduction and object removal in Adobe Photoshop on desktop.

All stack modes operate on a per-channel basis and calculate values using only non-transparent pixels in the stack. For example, the Maximum mode returns the maximum red, green, and blue channel values for a pixel cross-section and merges them into one composite pixel value in the rendered image.

Available stack modes

Mode

Result

Use cases

Entropy

entropy = - sum( (probability of value) * log2( probability of value) )Probability of value = (number of occurrences of value) / (total number of non-transparent pixels)

Defines the minimum bits needed to encode information in a set (binary or zero-order entropy).

Kurtosis

kurtosis = ( sum( (value - mean)⁴ ) over non-transparent pixels ) / ( ( number of non-transparent pixels - 1 ) * (standard deviation)⁴ )

Measures distribution shape. Returns 3.0 for normal distribution, above 3 for peaked, below 3 for flat.

Maximum

The maximum channel values for all non-transparent pixels

Preserves the brightest values across the stack.

Mean

The mean channel values for all non-transparent pixels

Reduces noise by averaging pixel values to smooth variations.

Median

The median channel values for all non-transparent pixels

Reduces noise and removes transient objects by selecting middle values that filter out temporary elements.

Minimum

The minimum channel values for all non-transparent pixels

Preserves the darkest values across the stack.

Range

Maximum minus the minimum of the non-transparent pixel values

Shows value spread for analyzing variation.

Skewness

skewness = (sum( (value - mean)³ ) over non-transparent pixels ) / ( ( number of non-transparent pixels - 1 ) * (standard deviation)³ )

Measures distribution symmetry around the mean.

Standard Deviation

standard deviation = Square Root(variance)

Quantifies how much values vary from the mean.

Summation

The sum channel values for all non-transparent pixels

Accumulates all values for specialized analysis.

Variance

variance = (sum( (value-mean)² ) over non-transparent pixels ) / ( number of non-transparent pixels - 1)

Measures how far values spread from their average.

Common workflows

Reducing image noise: Apply Mean for general noise reduction or Median when the scene includes occasional unwanted elements. Use Mean for purely random noise; choose Median when you need both noise reduction and the ability to filter transient objects.

Removing unwanted objects: Use the Median stack mode when you have a series of frames showing transient objects (people walking through a scene, passing vehicles) that you want to eliminate. The median calculation automatically excludes values that appear in only some frames.