Cloudinary Blog

Image Optimization in Ruby

Image Optimization in Ruby

Image optimization is a science that involves reducing the size of an image while maintaining high visual quality with the help of different techniques and algorithms.

In this article, we’ll take a look at how to perform and implement image optimization in Ruby.

However, before we dive right in, let’s go through why image optimization is so important.

The Importance of Image Optimization

There are many reasons why you would want to optimize images. But let’s look at three of the main ones:

  • Bandwidth - Users actually take note of the amount of data they spend surfing different websites. Bandwidth costs money. Optimizing your images will save a lot of bandwidth, which reduces users’ costs of surfing your site and minimizes the costs of your hosting plan.
  • Download time - A user that is made to wait for several seconds or minutes for your page to load might not visit that page a second time. Not optimizing your images will make your web page load time increase, which in turn discourages users from visiting your platform.
  • Storage space - Reduced image sizes will automatically reduce the amount of storage space you need. Consider this typical scenario: A user uploads an image that is 5MB in size and, your website optimizes the image by reducing it to 2MB without losing the quality of the image. Storing 100 images of that size will require only 200MB of storage rather than 500MB at the original size. You have just shaved off 300MB of storage space.

In addition, you also have to deal with several factors about each image, including:

  1. Quality
  2. Format
  3. Metadata
  4. Size and resizing

Optimizing Images in Ruby

Piet

Piet is a gem that optimizes images. Under the hood, it uses optipng and jpegoptim. You can install it like so:

gem install piet

You can use it:

Piet.optimize(‘/images/dog.jpg’)

This will optimize the image but output nothing. Add an option :verbose => true:

Piet.optimize('/images/dog.png', :verbose => true)

An output will be generated:

Processing: dog.png
340x340 pixels, 4x8 bits/pixel, RGB+alpha
Input IDAT size = 157369 bytes
Input file size = 157426 bytes

Trying:
  zc = 9  zm = 9  zs = 0  f = 1   IDAT size = 156966
  zc = 9  zm = 8  zs = 0  f = 1   IDAT size = 156932

Selecting parameters:
  zc = 9  zm = 8  zs = 0  f = 1   IDAT size = 156932

Output IDAT size = 156932 bytes (437 bytes decrease)
Output file size = 156989 bytes (437 bytes = 0.28% decrease)

You can use Piet to convert 24/32-bit PNG images to paletted (8-bit) PNGs. The conversion reduces file sizes significantly and preserves full alpha transparency:

Piet.pngquant('/a/path/where/you/store/the/file/to/convert')

Check out the documentation for more options.

Image_optim

This is a comprehensive optimization gem that takes advantage of several utilities, such as jhead, jpegoptim, jpeg-recompress, jpegtran, optipng, pngcrush, pngout, pngquant and others. Install the gem:

gem install image_optim

In your ruby application, you can invoke it:

image_optim = ImageOptim.new

image_optim = ImageOptim.new(:pngout => false)

image_optim = ImageOptim.new(:nice => 20)

And you can optimize an image:

image_optim.optimize_image('dog.png')

Check the documentation for a wide range of options to use with the gem.

Mini_magick

This Ruby gem is a wrapper for ImageMagick. It gives you access to all ImageMagick options. Add the gem to your Gemfile like so:

gem "mini_magick"

Resize an image:

image = MiniMagick::Image.open("dog.jpg")
image.path #=> "/var/folders/k7/6zx6dx6x7ys3rv3srh0nyfj00000gn/T/magick20140921-75881-1yho3zc.jpg"
image.resize "300x300"
image.format "png"
image.write "output.png"

It makes a resized copy of the image. You can modify the original image by not calling the write method. Check out the documentation for more optimization options using mini_magick.

Cloudinary: An Easy Optimization Alternative

Using Cloudinary, you can quickly and easily optimize your images, regardless of the programming language. Cloudinary automatically performs certain optimizations on all transformed images by default. Its integrated, fast CDN delivery also helps to get all the image resources to your users quickly. Cloudinary offers:

Automatic quality and encoding: Using the q_auto parameter, the optimal quality compression level and optimal encoding settings are selected based on the specific image content, format and the viewing browser. The result is image with good visual quality and a reduced file size. For example:

Ruby:
cl_image_tag("woman.jpg", :quality=>"auto")
PHP:
cl_image_tag("woman.jpg", array("quality"=>"auto"))
Python:
CloudinaryImage("woman.jpg").image(quality="auto")
Node.js:
cloudinary.image("woman.jpg", {quality: "auto"})
Java:
cloudinary.url().transformation(new Transformation().quality("auto")).imageTag("woman.jpg");
JS:
cloudinary.imageTag('woman.jpg', {quality: "auto"}).toHtml();
jQuery:
$.cloudinary.image("woman.jpg", {quality: "auto"})
React:
<Image publicId="woman.jpg" >
  <Transformation quality="auto" />
</Image>
Angular:
<cl-image public-id="woman.jpg" >
  <cl-transformation quality="auto">
  </cl-transformation>
</cl-image>
.Net:
cloudinary.Api.UrlImgUp.Transform(new Transformation().Quality("auto")).BuildImageTag("woman.jpg")
Android:
MediaManager.get().url().transformation(new Transformation().quality("auto")).generate("woman.jpg");
iOS:
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setQuality("auto")).generate("woman.jpg")!, cloudinary: cloudinary)
https://res.cloudinary.com/demo/image/upload/q_auto/woman.jpg

You also can use q_auto:best, q_auto:low, q_auto:good or q_auto:eco to adjust the visual quality of your images.

Automatic transformation: The f_auto parameter enables Cloudinary to analyze the image content and select the best format to deliver. For example, it can automatically deliver images as WebP to Chrome browsers or JPEG-XR to Internet Explorer browsers, while using the original format for all other browsers. Using both f_auto and q_auto, Cloudinary will still generally deliver WebP and JPEG-XR to the relevant browsers, but might deliver selected images as PNG-8 or PNG-24 if the quality algorithm determines that as optimal.

Resizing and cropping images with w and h parameters: Using the width and height parameters in URLs, you can resize the images with Cloudinary:

Ruby:
cl_image_tag("sample.jpg", :width=>0.5, :crop=>"scale")
PHP:
cl_image_tag("sample.jpg", array("width"=>0.5, "crop"=>"scale"))
Python:
CloudinaryImage("sample.jpg").image(width=0.5, crop="scale")
Node.js:
cloudinary.image("sample.jpg", {width: "0.5", crop: "scale"})
Java:
cloudinary.url().transformation(new Transformation().width(0.5).crop("scale")).imageTag("sample.jpg");
JS:
cloudinary.imageTag('sample.jpg', {width: "0.5", crop: "scale"}).toHtml();
jQuery:
$.cloudinary.image("sample.jpg", {width: "0.5", crop: "scale"})
React:
<Image publicId="sample.jpg" >
  <Transformation width="0.5" crop="scale" />
</Image>
Angular:
<cl-image public-id="sample.jpg" >
  <cl-transformation width="0.5" crop="scale">
  </cl-transformation>
</cl-image>
.Net:
cloudinary.Api.UrlImgUp.Transform(new Transformation().Width(0.5).Crop("scale")).BuildImageTag("sample.jpg")
Android:
MediaManager.get().url().transformation(new Transformation().width(0.5).crop("scale")).generate("sample.jpg");
iOS:
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setWidth(0.5).setCrop("scale")).generate("sample.jpg")!, cloudinary: cloudinary)
https://res.cloudinary.com/demo/image/upload/w_0.5/sample.jpg

Ruby:
cl_image_tag("sample.jpg", :height=>200, :crop=>"scale")
PHP:
cl_image_tag("sample.jpg", array("height"=>200, "crop"=>"scale"))
Python:
CloudinaryImage("sample.jpg").image(height=200, crop="scale")
Node.js:
cloudinary.image("sample.jpg", {height: 200, crop: "scale"})
Java:
cloudinary.url().transformation(new Transformation().height(200).crop("scale")).imageTag("sample.jpg");
JS:
cloudinary.imageTag('sample.jpg', {height: 200, crop: "scale"}).toHtml();
jQuery:
$.cloudinary.image("sample.jpg", {height: 200, crop: "scale"})
React:
<Image publicId="sample.jpg" >
  <Transformation height="200" crop="scale" />
</Image>
Angular:
<cl-image public-id="sample.jpg" >
  <cl-transformation height="200" crop="scale">
  </cl-transformation>
</cl-image>
.Net:
cloudinary.Api.UrlImgUp.Transform(new Transformation().Height(200).Crop("scale")).BuildImageTag("sample.jpg")
Android:
MediaManager.get().url().transformation(new Transformation().height(200).crop("scale")).generate("sample.jpg");
iOS:
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setHeight(200).setCrop("scale")).generate("sample.jpg")!, cloudinary: cloudinary)
https://res.cloudinary.com/demo/image/upload/h_200/sample.jpg

It maintains the aspect ratio, but resizes the image to whatever height and width you desire.

Ruby:
cl_image_tag("sample.jpg", :width=>200, :height=>100, :crop=>"scale")
PHP:
cl_image_tag("sample.jpg", array("width"=>200, "height"=>100, "crop"=>"scale"))
Python:
CloudinaryImage("sample.jpg").image(width=200, height=100, crop="scale")
Node.js:
cloudinary.image("sample.jpg", {width: 200, height: 100, crop: "scale"})
Java:
cloudinary.url().transformation(new Transformation().width(200).height(100).crop("scale")).imageTag("sample.jpg");
JS:
cloudinary.imageTag('sample.jpg', {width: 200, height: 100, crop: "scale"}).toHtml();
jQuery:
$.cloudinary.image("sample.jpg", {width: 200, height: 100, crop: "scale"})
React:
<Image publicId="sample.jpg" >
  <Transformation width="200" height="100" crop="scale" />
</Image>
Angular:
<cl-image public-id="sample.jpg" >
  <cl-transformation width="200" height="100" crop="scale">
  </cl-transformation>
</cl-image>
.Net:
cloudinary.Api.UrlImgUp.Transform(new Transformation().Width(200).Height(100).Crop("scale")).BuildImageTag("sample.jpg")
Android:
MediaManager.get().url().transformation(new Transformation().width(200).height(100).crop("scale")).generate("sample.jpg");
iOS:
imageView.cldSetImage(cloudinary.createUrl().setTransformation(CLDTransformation().setWidth(200).setHeight(100).setCrop("scale")).generate("sample.jpg")!, cloudinary: cloudinary)
https://res.cloudinary.com/demo/image/upload/w_200,h_100/sample.jpg

Cloudinary supports the following image cropping modes: scale, fit, mfit, fill, lfill, limit, pad, lpad, mpad, crop, thumb, imagga_crop and imagga_scale.

Conclusion

One of the best ways to increase page performance is via image optimization, so you will want to take some time to ensure that all your images are properly optimized and cached.

We have highlighted how to optimize images using the beautifully crafted language, Ruby, as well as with Cloudinary. But that’s just a tip of the iceberg, you can check out how to optimize your jpeg images without compromising quality for more ideas.

Cloudinary provides many options for optimizing your images. Feel free to dive in and explore them.

Prosper Otemuyiwa Prosper Otemuyiwa is a Food Ninja, Open Source Advocate & Self-acclaimed Developer Evangelist.

Recent Blog Posts

Build a WhatsApp Clone with Automatic Image Optimization

In the previous post, we showed how to upload images to a Cloudinary server. In this part, we will play with some of the features we see on the WhatsApp technology. After you or your users have uploaded image assets to Cloudinary, you can deliver them via dynamic URLs. You can include instructions in your dynamic URLs that tell Cloudinary to manipulate your assets using a set of transformation parameters. All image manipulations and image optimizations are performed automatically in the cloud and your transformed assets are automatically optimized before they are routed through a fast CDN to the end user for an optimal user experience. For example, you can resize and crop, add overlays, blur or pixelate faces, apply a variety of special effects and filters, and apply settings to optimize your images and to deliver them responsively.

Read more
With automatic video subtitles, silence speaks volumes

The last time you scrolled through the feed on your favorite social site, chances are that some videos caught your attention, and chances are, they were playing silently.

On the other hand, what was your reaction the last time you opened a web page and a video unexpectedly began playing with sound? If you are anything like me, the first thing you did was to quickly hunt for the fastest way to pause the video, mute the sound, or close the page entirely, especially if you were in a public place at the time.

Read more
Impressed by WhatsApp Tech? Build WhatsApp Clone with Media Upload

With more than one billion people using WhatsApp, the platform is becoming a go-to for reliable and secure instant messaging. Having so many users means that data transfer processes must be optimized and scalable across all platforms. WhatsApp is touted for its ability to achieve significant media quality preservation when traversing the network from sender to receiver, and this is no easy feat to achieve.

Read more
New Google-powered add-on for auto video categories and tags

Due to significant growth of the web and improvements in network bandwidth, video is now a major source of information and entertainment shared over the internet. As a developer or asset manager, making corporate videos available for viewing, not to mention user-uploaded videos, means you also need a way to categorize them according to their content and make your video library searchable. Most systems end up organizing their video by metadata like the filename, or with user-generated tags (e.g., youtube). This sort of indexing method is subjective, inconsistent, time-consuming, incomplete and superficial.

Read more

iOS Developer Camp: The Dog House

By Shantini Vyas
iOS Developer Camp: The Dog House

Confession: I’m kind of addicted to hackathons. Ever since graduating from Coding Dojo earlier this year, I’ve been on the hunt for new places to expand my skills and meet new people in the tech space. iOS Developer Camp’s 10th Anniversary event bowled me over. Initially, because of its length. 48 hours? Yeesh. I had no idea that those 48 hours would change my life. But let’s first get a little backstory on my favorite topic: dogs.

Read more