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With the continuous development of digital technology, different manufacturers are not tired of competing in the pixel competition of photos.
Now the photos taken by mobile phones are often 10MB or 20MB.
Relatively speaking, it is indeed a little clearer, but it has exceeded the needs of most users.
How many students like to zoom in 50 times every day to view them after taking photos?
On the contrary, the photos keep getting bigger, but it brings some negative effects, occupying the memory of the mobile phone, troublesome transmission, and power consumption. Therefore, although some mobile phones claim to be 100 million pixels, the high-quality camera switch will be turned off by default.
Therefore, now the mobile phone is often 128GB, 256GB.
In fact, in the range that cannot be recognized by the naked eye, there is a lot of room for optimization of pictures, which can save storage space and improve transmission efficiency.
In terms of this problem, the most common scenario is that when applying for various exams, the website will have strict restrictions on the uploaded photos, for example, a limit of 1MB, or 500KB.
In this article, I will recommend an open source and free lossless compression tool for you to slim down your photos. Through lossless compression, you can easily save hundreds of GB of storage space for your computer and mobile phone!
Caesium
Caesium is a cross-platform image compression software designed to help photographers, bloggers, webmasters, businesses or casual users store, send and share digital images more easily.
When it comes to image compression, we can expand on some aspects of digital image processing.
Image compression is mainly divided into 2 categories:
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lossy compression
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lossless compression
The essence of lossy compression is to change , it will merge the pixels within the adjacent window range through some processing methods. It can be seen that this changes the image pixels, so that the amount of information is reduced, and the image quality will naturally be greatly affected.
The essence of lossless compression lies in the compression algorithm , which uses a certain algorithm to represent some repeated data information, which will not affect the pixel content, nor cause any loss of image details, and the file can be restored.
From this comparison, lossy compression is simpler and cruder, while lossless compression depends on the pros and cons of the algorithm.
Caesium is a lossless compression tool that maximizes the size of compressed images and saves storage space on the premise of ensuring image quality.
Caesium currently supports Windows and macOS systems, so whether you are a Windows user or a macOS user, you can experience its power.
The use of Caesium is very simple, directly open the image to be compressed, select the output folder, it supports single image compression, and also supports batch compression.
Now, let's take a look at the effect directly:
From the test results, Caesium is still very easy to use. When its compression rate is as high as 50%, it is difficult for the human eye to distinguish the difference between the photos before and after compression.
Take 1000 10MB images as an example, if each image is compressed to 5MB, then this can save 4.88G of storage space.
In my opinion, there should be more than 1000 photos stored on the computer of many students. In this way, the optimization space is still very objective.
other
At present, there are still many options for lossless image compression tools. I have also introduced some of them before, and I will share them with you here. Students can choose by themselves:
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Squoosh：Squoosh
TinyPNG is an old-fashioned image compression tool, and Squoosh is a compression tool funded by the Google team. Both tools are very good, and students who like them can also try them.
Hello everyone, I'm Jackpop! I spent half a month putting together various technical dry goods collected in the past few years, including but not limited to Python, machine learning, deep learning, computer vision, recommendation system, Linux, engineering, Java, content Up to 5T+, acquisition method: technical dry goods _ free high-speed download | Baidu network disk - unlimited sharing (extraction code: 0000)