Determine how the Histogram reflects the brightness and color in an image
Use Levels and Curves adjustments to manipulate brightness and color in an image
Use Adjustment Layers to modify or enhance an image
Overview
No matter what professional digital image editing software you use, you will encounter histograms, thus understanding how to read a histogram and why to use manual color and brightness adjustment methods such as the “Levels” and “Curves” tools in Photoshop is essential. This week we will investigate these topics in-depth.
Note: there are “Auto’ enhancements available in Photoshop and also many cell phone apps, but they don’t always give you desirable results and are often not part of the professional toolbox because you don’t have fine control over the output.
This lesson shows how to adjust photos manually with the two techniques and will also focus on using more Adjustment Layers.
How to Read Histograms
A histogram is the graphical representation of the tonal values of your image from black to white.Expressed numerically, the values range from 0 to 255 this is because 8-bit images (a standard jpg) contains 256 possible brightness levels but computers like to start counting from zero. You may see them in your camera and in all professional image editing software.
There is no incorrect histogram pattern in an image but it can tell you a lot about your image. It can be used to discover whether you have captured all the detail in the dark or light areas of an image.
The dark tones are represented on the left side of the histogram and light tones on the right. The middle represents the mid-tones of the image. The vertical axis of the graph represents how many tones are present in the image for that value.
In the cat image below, most of the photo is very dark. The histogram shows that more pixels are represented in the dark areas while very few pixels are present in the lighter area and none are present at the far right, white. Even the white areas of this photos are darker than 100% white. No doubt this is what the photographer intended to do in this case.
A photographer might use the histogram feature on their camera to quickly determine whether the shot they are taking is over or under exposed. This also helps us with image editing because sometimes it’s hard to tell by the eye. The under exposed image does not have good detail in the shadows and the histogram is piled up on the left. The over exposed image has blown out highlight areas and the histogram is piled up on the right.
Drag the slider left and right on the image below.
If the value area touches either the right or the left edges, it is called either shadow or highlight clipping and there is image detail that may have been lost in these areas of the image. The dark cat image above shows shadow clipping (on the left side of the histogram), for example and the image below shows more shadow clipping and some highlight clipping (on the right side of the histogram). This can usually be fixed by adjusting the exposure, making dark images a bit lighter for example but it may be the look you are intending.
Generally, a well-exposed image will display a histogram showing a full, continuous range of brightness levels from black to white without much clipping. So you can use it as a way to spot potential problems that your eye may not immediately see. Again, this also may be part of the aesthetic value of the image so it depends on what you want.
Histograms display information for each color as well and every color in your image has it’s own level of brightness or luminosity. Yellows are brighter than Reds, for example. In this case, the RGB histogram shows red green blue. You can see that in the image below, the Blue areas are brighter than the Red areas because they are further to the right on the histogram.
The Histogram can also give us information about the quality of an image, sometimes hinting at whether it has been adjusted properly.
Photoshop Levels vs Curves - What is the difference?
Essentially, the Levels and Curves tools perform very similar functions such as:
Adjustments on a RGB histogram
Set black, white, and gray point for the image
Adjust the zero point for color intensity
Adjust the max point for color intensity
Adjust contrast, brightness and color intensity
Set blackest black and whitest white values for image
Use presets for quick adjustments.
So, that’s confusing, if they function the same, what’s the difference and why use each one? Watch this video about the difference between Levels and Curves in Photoshop. Skip to about 1:09 if you like to get to his demonstration.
Adjusting Color
Before we get started, it might also be helpful to understand a little bit about how the numbers work for the additive color model RGB. Watch this 30 second video.
Watch this tool demo on using Levels and Curves in Photoshop.
Additional Resources & Activities
If after watching the lesson videos, you still have questions about histograms and Photoshop Adjustment Layers, please have a look at these resources:
Download the following images by clicking on them to open in a new tab and right-clicking to save image onto your computer.
Image 1
Image 2
Image 1 Instructions
On the first image, you will use a Levels Adjustment to correct the brightness and color.
Save your image as a Photoshop file (.psd), with the title of YourName-Exercise2-1.psd and upload it to your Google Drive folder for this class. Do not flatten layers.
Image 2 Instructions
On the second image, you will use a Curves Adjustment to correct the brightness and color.
Save your image as a Photoshop file (.psd), with the title of YourName-Exercise2-2.psd and upload it to your Google Drive folder for this class. Do not flatten layers.
Goals for Image 1 and Image 2 Adjustments
Your goals for both images are to:
make the whites look white without going too bright (should see details and shadows still)
make the colors look natural on the objects – not too bright or dark, good saturation and variation
retain the details on the objects in the image
if details are not present in some areas, bring up the detail (clouds in Image 2)
if areas are too dark, make them lighter to show more detail (flowers in Image 2)
correct any color cast (warm or cold)
Note: Do not use any other tools or techniques (no paint brush, lasso, burn or dodge – use of these will reduce your grade).
Tips
Tip #1 – The “Info” Panel
If you want to make sure an area is “white’ or “gray’ with no color cast, use the “Info’ window and check the RGB values of the pixel colors. (Window menu -> Info). This takes out guess work and also influence from your display’s color shift and environment, like colors of your room light and computer wallpaper colors.
Move the RGB 3 values closer to each other, like 209, 211, 203. A closer pixel value combination represents more neutral colors like white or gray, while values like “200, 151, 230’ indicate stronger color cast. So aim to get more neutral colors on areas that should be white or grey.
The info window works for both “Levels’ and “Curves’ so keep it open for both Images. Make sure to move your cursor around to measure values of multiple pixels, not only one pixel in one spot. Because the photo is grainy and has color noise, some pixels may show unexpected colors.
However, don’t obsess with the RGB values. It’s impossible to get perfect neutral values, like “214, 214, 214’.
Tip #2 – Actual Value
If you have trouble adjusting the Levels sliders, try clicking on the actual value and use the up and down arrow keys on your keyboard. This will let you change the value in small increments.
Upload JPGs of Exercise 2 into your post
(remember, to create a JPG, use the Top Menu -> Export ->Save for Web (Legacy) option with JPG, 100% quality)
Give your post the category of “Exercise 2’
Reflection — Exercise 2: Write a short reflection on the process you used to adjust your images. Were you successful? What do you like about it? How could it be improved?
Note: Put both Reflections and Exercise 2 JPEG on the same post.
Please record a more detailed introduction to class than what you posted in Lesson 0. Tell us a little bit about yourself, what you’re studying, what your goals are for class, anything you would like to share. You are welcome to use props to illustrate ideas. You could also pretend you’re making a video about who you are professionally for a potential job. This would be a great to pre-prepare for searching for a job after graduation and something that more competitive job seekers are doing. Any way you would like to make your introduction video more interesting is fine for this class. You can use a video recorder, your phone, your laptop.
There are only 7 basic rules to follow:
do not use a cluttered background (no dirty dishes)
use good lightingwith a good camera angle (if you record from your laptop, for example make sure it is level with your face not up your nose)
record good audio – it doesn’t have to be studio quality but we must be able to understand what you are saying clearly without too many background distractions (no music, dishwashing, TV, etc).
good eye contact
steady the camera – no hand-held selfies! if you use your phone, place it where it will be steady
no vertical video – make sure your camera is recording horizontally not vertically because it doesn’t fit into the right shape for playing on YouTube.
keep it short – try to keep it under 2 minutes!
Step 1. Write a script and or storyboard for your introduction. Feel free to make it fun (holding your pet?) as long as you follow the rules above. Step 2. Practice to make sure the lighting, camera angle, audio, and background all look good. Practice a few times to get comfortable. Step 3. Record your video. Step 4. Upload your video to YouTube:
Go to YouTube.com and log in with your @alaska.edu account. The first time you do this, you will be walked through some steps to set up your account. Contact your instructor if you run into trouble. Click on the upload button at the top of the YouTube account . You can set the privacy level to either Unlisted or Public.
Once your video is uploaded to YouTube, copy the URL
Step 5. Paste the URL into a new post on this course website and give it the category of ‘Oral Presentation 1’. Don’t link the URL, just paste the plain text, you should see that it magically appears to be embedded. That’s because WordPress uses a protocol called oEmbed that whitelists YouTube video (and others).
creative and super inspiring – this is a fantastic example of a creative person looking for work and making a video to introduce themselves to prospective employers. It includes a lot of video technique that is beyond the scope of this course but is still a very inspiring example.
Further Reference
Why create an introduction video other than for this class? What’s the point to this practice?
. You can set the privacy level to either Unlisted or Public.
