Snapseed (Part 1)

2020-11-19 22:23:57  作者:Photography & Revision

Suddenly, I want to travel , Find a picture of yourself to get rid of dry addiction .

This will be a good place to shoot wedding dresses

There is another purpose of sending this picture .

We all know , In a simple book , A thumbnail of the first image will be displayed on the right side of the corpus list , If you stick a piece of Snapseed The interface of , Uncle really doesn't think that would be so beautiful . Or somewhere else , For example, long micro blog , If the first picture is not good , Readers often lose the desire to continue reading .

Here are two reasons to explain , One is that everyone knows “ Details determine success or failure ”, Sharing articles is so , It's even more so when you take pictures . A good photographer , Must be very careful of the details .

The second is our attitude . Treat your photos like you treat your articles , Be self demanding , Find out more about the shortcomings in your photos or words , That's what makes people happy , I'm not satisfied with myself , How can you expect others to be satisfied with your luck ? And treat other people's photos or words , We should be more tolerant , Learn more from other people's flash points .

This is what we call photography : discipline , Wide to treat people .

Okay , To begin our Snapseed A brief tutorial . Uncle will simply teach you through the processing of a picture Snapseed Usage method .

Don't ask me Snapseed What is it? , As a widely used mobile phone photography class app, Both apple and Android have , And it was Google After acquisition , Now it's free to use , There are no functional restrictions . that , Let's start happily !

First look at the main interface after opening an image .

Snapseed main interface

Uncle believes , Some people are scared by so many things . A friend said , She installed it and removed it , Because it feels so complicated , Dare not move . On this point , Uncle wants to say , Just move , Moving pictures don't go bad , The mobile phone won't break down .

The interface is divided into two parts : Tools and filters . You can look at it this way : Tools are the foundation , The filter is further beautified .

To make the course clearer , Today we'll just talk about the first part : Tools . Let's look at a picture first .

This is a picture of the wedding scene , Take pictures of Xiaomi 3

The main problem uncle found was , The picture is a little yellow , The subject is not prominent enough , And it's not clear enough . It doesn't matter , Let's beautify it step by step .

First step , Uncle's habit is to correct the distortion . Especially for mobile photography , Improper shooting angle and slight tilt of the mobile phone will make the final deformation . Because the camera of mobile phone is super wide angle lens , Very easy to deform .

This picture is actually OK , Uncle is very concerned about shooting , It's just for demonstration , The adjustment will not be particularly large . Click... In the main interface “ deformation ” The following screen appears .

First , Slide over the picture with one finger , You'll find three options : Horizontal perspective 、 Vertical perspective and rotation . This is a Snapseed How to select the sub interface of , Remember . I'm not going to remind you again .

Slide to “ rotate ”, Because the picture is a little bit crooked , Press the blank space in the interface with your finger and rotate the picture slightly .Snapseed It's very human software , If the operation is not clear enough , Please click on the question mark in the upper left corner , There's an operation demonstration . Uncle here mainly talks about ideas and operation procedures .

Rotating demonstration

After correction , It was found that there was still a slight deformation on it . Select the sub interface of “ Horizontal perspective ” To correct . Pictured :

Horizontal perspective demonstration

Then click the tick in the lower right corner , Back to the main interface .( This part of the operation is slightly )

The second step , Uncle is used to cutting pictures . This picture was originally made with 4:3 It's shot in proportion to , I feel that there is a little more space left below . Click... In the main interface “ Tailoring ” Enter the figure below :

A demonstration of cutting pictures

Click the square button next to the bottom free aspect ratio , You can choose the cutting ratio , such as 16:9, Square, etc . We use free scale here . Just move the bottom line up slightly .

Back to the main interface .

The third step , Correct the color temperature . Click... In the main interface “ Adjust the picture ”.

Snapseed There's no white balance in it , But in adjusting the warm tone in the picture, you can achieve .

Remember the choice of subinterfaces ? Slide your finger over the picture , Get into “ warm tones ”. The picture is warm , The fingers slide to the left , Reduce the warm tone . Restore the true color temperature of the picture .

Color temperature demonstration

Step four , Brightness contrast settings . It's still in this subinterface . The brightness is basically normal , There's no adjustment here . The fingers slide into “ Contrast ”, Because we found that the pictures were gray .

Contrast demonstration

stay “ Adjust the picture ” There are many options to adjust , I'm not going to show you one by one , Otherwise, it would be too expensive . After adjustment , We click the tick , Back to the main interface .

Step five , Partial adjustment . Here uncle will use two methods . It's very easy to use . We found that , Both sides of the pavilion are dark because of the light . Click... In the main interface “ Local ”.

Remember to click the question mark on the top left to get the operation guide . Enlarge the picture with two fingers , Click on the “+”, Then click where you need to adjust , And use two fingers again to narrow the range . Then slide the sub interface options , We choose “ brightness ”, And increase the brightness . Here are the contrast pictures .

Local adjustment demonstration

It's obvious that some of them are highlighted , It can be used in black face , Hey .

The second method of local adjustment : In the main interface “ paint brush ”. The same enlarged picture , Choose here “ Add light and subtract light ”, Set the parameter below to 10( A positive number is an additive light ), Use your fingers to stroke where you feel dark . The comparison chart is as follows , It's bright, isn't it ?

A demonstration of the brush

Uncle thinks the brush is more suitable for fine adjustment , You can also adjust the color locally , And saturation . This is also Snapseed Recently updated new features , So it's really professional ! Here's a hint , Uncle thinks , So in the image processing software , Including the one on the computer lightroom、photoshop etc. , Brushes are indispensable tools .

Step six , Increase the clarity of the picture . Enter the main interface “ Highlight the details ”. There are two ways ,“ sharpening ” Can make the color edge of the photo clearer ,“ structure ” By adjusting the contrast of different gamut , Make the photos more layered . We use “ structure ”.

A demonstration of the structure

The picture looks much clearer . But at the same time, the image is too bright after structural processing . Let's go back to “ Picture adjustment ” Desaturation .

Slightly lower the saturation of the image

The picture is basically finished . However, we find that the subject is not outstanding enough . What do I do ?

Step seven , Increase the dark angle . In the main interface, we enter “ Fainting ”, Add dark corners to the picture , It's to make it dark all around , Pictured .

A demonstration of the dark corner

Here we find , The subject is still not conspicuous . Remember the local function ?

Step eight , Further highlight the subject . We enter... Again “ Local ”, Choose a larger range for the center of the main pavilion to improve brightness .

Increase the brightness in the middle

It looks like , The picture is done . It's also the European and American feeling uncle wants . Let's take a look at the contrast map :

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