### Fixel EdgeHancer Basics 001 30 September 2017

In this post we’ll learn on the ideas behind Fixel EdgeHancer and what makes it different than other sharpening concepts.

## Classic Sharpening

Well, the wisest thing would be to send you reading Davide Barranca’s great notes on sharpening - Decomposing Sharpening #1 Introduction and Double USM Photoshop Sharpening Script #1: Introduction.

But, let’s do our own (Short) walk in the park.
The basic concept of sharpening is - If you know how to blur, just do the inverse of that.

Yep, it is just like that (One day we’ll write on how to create your own Unsharp Mask Filter in Photoshop using Gaussian Blur only).

In practice it is done like that:

• Given an image inputImage blur it to create blurredImage.
• Create difference image (High Pass Image) by subtracting blurredImage from inputImage: diffImage = inputImage - blurredImage.
• Create sharpened image by adding the difference image to the input image: sharpendImage = inputImage + diffImage.

## Edge Sharpening

Well, as talked above, sharpening methods response to changes.
Changes are what we call edges in images.
So sharpening is basically an indirect method to emphasize edges.

Yet, could we do something which directly interacts with edges? Yes we can!

Assuming, given an image, we could access a map of the image edges, what would we do?
Well, we could do many different things to emphasize those edges.
In practice any mathematical operation that will differentiate the edges form their surrounding would work - Addition, Multiplication, etc…

## EdgeHancer Magic

This is what so special about EdgeHancer, the way it detects edges to create the map (Mask) of edges. We utilized very innovative way to do so we have never seen anywhere else.
Its magic by its relative simplicity (Though using mathematical operations not available in Photoshop without a Plug In). The method has 2 properties which are important for real life image processing (Done by Photographers):

• Fast
The method is fast to implement hence results are almost instant.
• Easy to Control
The algorithm is easily parametrized and well behaved.

Let’s have a look how the mask generated by Fixel EdgeHancer algorithms looks like.

Image Credit - Image by Tanja Heffner.

The radius parameter controls the width of the effect on edge areas.
Which is exactly what one would expect to achieve with such parameter.

Targeting edges directly is the special sauce of EdgeHancer which makes its end result different than traditional sharpening.
This approach works beautifully on textures and images with pronounced edges.
You really should try it by yourself.

Next time we’ll cover Fixel EdgeHancer UI and settings.

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