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:
- Quality
- Format
- Metadata
- 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:
You can use it:
This will optimize the image but output nothing. Add an option :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:
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:
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:
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:
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:
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:
It maintains the aspect ratio, but resizes the image to whatever height and width you desire.
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.
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Prosper Otemuyiwa is a Food Ninja, Open Source Advocate & Self-acclaimed Developer Evangelist. |
