Adobe Photoshop CS3 Uživatelský manuál stáhnout pdf (Strana 603)

100

101

PHOTOSHOP CS3

User Guide

596

Remove stack rendering

❖ Choose Layers > Smart Objects > Stack Mode > None to remove any rendering from an image stack and convert

it back to a regular Smart Object.

Edit an image stack

BecauseanimagestackisaSmartObject,youcanedittheoriginalimagesthatmakeupthestacklayersatanytime.

❖ Choose Layer > Smart Objects > Edit Contents, or double-click the layer thumbnail. After you save the edited

Smart Object, the stack is automatically rendered with the last rendering option applied to the stack.

Convert an image stack

To preserve rendering effects on an image stack, convert the Smart Object to a regular layer. (You may want to copy

the Smart Object before converting, in case you want to later re-render the image stack.)

❖ Choose Layer > Smart Objects > Rasterize.

Rendering plug-in name Result Comments

Entropy entropy = - sum( (probability of value) * log2( prob-

ability of value) )

Probability of value = (number of occurrences of

value) / (total number of non-transparent pixels)

The binary entropy (or zero order entropy) defines

a lower bound on how many bits would be neces-

sary to losslessly encode the information in a set.

Kurtosis kurtosis = ( sum( (value - mean)

) over non-trans-

parent pixels ) / ( ( number of non-transparent

pixels - 1 ) * (standard deviation)

A measure of peakedness or flatness compared to

a normal distribution. The kurtosis for a standard

normal distribution is 3.0. Kurtosis greater than 3

indicates a peaked distribution, and kurtosis less

than 3 indicates a flat distribution (compared to a

normal distribution).

Maximum The maximum channel values for all non-trans-

parent pixels

Mean The mean channel values for all non-transparent

pixels

Effective for noise reduction

Median The median channel values for all non-transparent

pixels

Effective for noise reduction and removal of

unwanted content from the image

Minimum The minimum channel values for all non-trans-

parent pixels

Range Maximum minus the minimum of the non-trans-

parent pixel values

Skewness skewness = (sum( (value - mean)

) over non-trans-

parent pixels ) / ( ( number of non-transparent

pixels - 1 ) * (standard deviation)

)

Skewness is a measure of symmetry or asymmetry

around the statistical mean

Standard Deviation standard deviation = Square Root(variance)

Summation The sum channel values for all non-transparent

pixels

Variance variance = (sum( (value-mean)

) over non-trans-

parent pixels ) / ( number of non-transparent pixels

- 1)

1 2 ... 598 599 600 601 602 603 604 605 606 607 608 ... 680 681

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