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In this chapter, we take you on a tour of the software, showing you exactly what it can do.
1. Basic Functions
Getting the Most from Photoshop
Before we get to the actual image editing, there are a few items you need to know to use Photoshop to its fullest potential.
First, you need to understand that when you open Photoshop, the program is set up to create documents with common file formats, including TIFF, Photoshop, Adobe PDF, and JPEG. If you choose a graphic file when creating a new document, the default file format is likely the best one for you. Choose RAW or DNG when you create your own camera file if you want to use it as a source for further editing.
You may often come across the idea that you should create and save graphics in PNG format because it is lossless (thus requiring less files to store). However, a problem with the PNG format is that it is good only for screen use.
In addition, it is crucial to understand that the way you interact with Photoshop is the same regardless of which file format it creates. For instance, you can’t use any of the unique capabilities of a RAW file format, such as the ability to make changes to the color, the ability to change its shape, or the ability to rotate an image.
Most important, think about whether you need to save your graphics in one or more file formats. It is a common practice to save a single JPEG as a single-page document. However, you may also want to save other versions of that JPEG for the purpose of finding a specific color or saving an image onto another format. If your document is large, it is possible to save it as several files.
For more about file formats, see File Format Options.
You also need to know that Photoshop makes converting a graphic in one file format to another very easy with the New Document command.
In addition, there is a bit of a mystery surrounding the file extensions of images. When you place an image onto the computer, the computer and the operating system handle the file extensions, allowing you to name an image in one format on your computer and have the file saved with the name JPEG on your external hard drive.
Here are the file extensions that Photoshop supports:
.jpeg
.jpg
.tiff
.tif
.eps
.epsf
.psd
.raw
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Photoshop Elements is currently in its 11th generation. As of July 2020, the download options for older versions of Photoshop Elements have been removed. However, you can still download and upgrade the older versions from the Adobe site.
There are also alternative applications to Photoshop Elements such as Paint.Net. It is an open-source photo editor that supports most of the features that you would expect from Photoshop Elements and more.
Photoshop Elements Basic License
If you want to use Photoshop Elements on a PC, you will need to own either an Adobe Digital Subscription or a Photoshop Elements subscription. Photoshop Elements is available as an annual subscription or a monthly subscription.
A basic Photoshop Elements License is a limited time license you can use for a specified period and it is free to download. You will be able to use the full Photoshop Elements 10 on an unlimited number of computers. You will be able to use all features of Photoshop Elements 10 including the feature of creating new files.
However, when your license expires you will be allowed to upgrade your license only by buying a new one. You will not be able to upgrade your Photoshop Elements License using the Adobe Upgrade service.
Adobe has announced that they will be removing the Photoshop Elements Basic License and the option to add the Basic License to a new Photoshop Elements 10 sublicense in August 2020.
Adobe website is a great source of information and news about the latest releases and developments in photography and the graphics industry. If you need help with Photoshop Elements, do check out our Photoshop Elements help pages.
You can buy the Adobe digital subscription for Photoshop Elements from the Apple App Store, Google Play Store, Microsoft Store or the Adobe store.
This document provides an overview of Photoshop Elements and the features available. It is meant as a quick reference for using Photoshop Elements in a way that is most suitable for you.
Photoshop Elements has a user interface that is quite different from the interface of traditional Photoshop. In this document, we will explain and describe the interface for Photoshop Elements and how to get around in the programs.
If you need any help with using Photoshop Elements, our Photoshop Elements help pages will be a great resource. We have tutorials for Photoshop Elements with several techniques to help you start using Photoshop Elements.
This document will be updated for future versions of Photoshop Elements so please check this file for the latest information.
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Sheffield Wednesday progressed to the League Cup fourth round at the expense of Newport County and looked set to take a second-round shock lead to the Football League Cup.
Shane Duffy, on as a substitute after coming off at half-time against Blackpool, twice went close before Ahmed Elmohamady headed home.
The visitors had chances of their own from debutants Charlie Chew and Andy Webster.
But Derby’s Lewis Foster volleyed home after the break to settle the tie, following in a late injury-time goal from Jacob Butterfield.
And the Owls made the win count as Alan Browne pulled off one of the biggest comebacks of the season.
The Welshman looked down and out after going down in a tangle with Newport defender Danny Townsell before referee Craig Pawson showed him a straight red card for stamping on Townsell.
Browne then jumped to his feet, shouted and kissed the turf as Owls manager Steve Bruce went to the bench and a man on the touchline held up his hands in despair as the League Two hosts looked to have killed their hopes of progression.
However, Howe’s side dominated the second half and Duffy was their man of the moment.
Having gone off at the break, the Republic of Ireland winger had a wonderful chance to open the scoring seconds after the restart.
Fumbling his first effort after being dispossessed in the box, Duffy struck a delicious, dipping effort into the roof of the net.
He went close again shortly afterwards when, having appeared to be headed off the line by Townsell, Duffy latched on to a set-piece, which he struck poorly.
The chance came after Richie Smallwood’s shot was parried into the path of Duffy, who then blazed his effort over.
Winger Webster then wasted an excellent chance to put the Owls in front after a long ball found him on the edge of the box.
The lively Webster then survived two players rolling into him before he struck a fierce effort which hit the bar and went out for a corner.
It did not take long for the Rams to make their entrance into the game as they took the lead after the 40th minute.
Former Leicester City keeper Foster, on as a substitute, was in a goalkeeping tangle with Popescu and he then had to endure a yellow card for trying to take the Romanian
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Neural networks for the detection of swine odor and excretion in composts.
An odor detection system for compost was developed to enable the composting industry to gauge the maturity of their composts. Multilayer perceptron neural networks were trained using a set of eight composts mixed from local municipalities in China. The objectives of the network training were to determine the best method of training as well as to determine which sensors, components, and related thresholds performed best for the detection of high levels of carbon dioxide, water, nitrogen gas, chloride, or ammonia, in simulated soils. A set of three composts from different municipal types and a set of three raw primary fillers from local agriculture were also used in the training. The outputs of the sensor readings based on the trained models were compared against the corresponding output of an operator manual and an analysis system. The interclass correlation coefficient on all training and testing inputs ranged from 0.944 to 0.995. This was good enough to indicate that the trained models were very efficient in providing the required inputs that accurately predicted the various carbon dioxide, water, nitrogen gas, chloride, and ammonia levels in the compost. The sensor output values were compared with the known levels in each input to determine the sensitivity and specificity for each sensor response. The results showed that the carbon dioxide sensors identified the composts as least mature and vice versa, the ammonia sensors identified the least mature composts and the chloride sensors identified the most mature compost. The results from this study showed that two layers of the network, with an input layer of 15 sensors and an output layer of five sensors, was sufficient in identifying the maturity of a compost. This study also showed that the two-layer network had higher sensitivity and specificity when compared to the network with only one layer of input sensors.COPYRIGHT AND TRADEMARK INFORMATION
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