Luminosity Masking using Tony Kuyper’s Actions

Luminosity Masking

The class for April 8, 2017 is now full.  If you would like to be placed on the wait list, please send your information to register via the form below.  I’ll contact people in the order of registration in the event of any cancellations.

This is an exciting class that will present the theory  and utilization of Actions created by Tony Kuyper to do advanced luminosity masking.

I have received direct permission from Tony to teach this class and his intellectual property.  I’ve been working with Tony for a number of years on testing his tools and creating a custom panel.

This class assumes a working knowledge of layer masks.  I’ll be teaching how you can create layer masks based on the luminosity values (brightness) of the tones in your image.  This allows you to make very targeted adjustments to your image with perfect masks.  There are many other processing techniques I’ll present using the power of these masks and action sets including selections based on saturation, color channels, color ranges, infinity masking and much more.

This class has been updated to reflect the latest actions/panels from Tony.  We’re now on V5.  A HUGE step forward from the prior version, so even if you have prior versions, you might be interested in the latest functionality provided in V5.

If you don’t already own Tony’s masks, I’ll show you how/where to purchase them, and install them.

 

 

 

 

 

 

 

 

Date / Time /  Location

  • Date:  April 8, 2017

  • Time:  9:00AM – 2:00 PM

  • Artistic Image Gallery

    • 1101 Cardenas NE, Suite 102 (Near San Pedro and Lomas

  • Class size will be limited to 12 participants

    • A minimum of 6 participants is required to hold the class

Cost:

  • $100

  • Screen Shot 2016-01-24 at 9.00.58 AMA $50 Deposit is needed to hold your spot in the class.  I’ll send details on how to pay the deposit once yor information has been received.

Complete this form and you will receive a confirmation via e-mail of your registration for the Luminosity Masking class

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