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Which Function Should You Use in MATLAB: floor, round, or ceil for Resizing Images?

when resize my photo what should i use function among floor round ceil in Matlab?

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Автор: vlogize

Загружено: 2025-08-21

Просмотров: 0

Описание: Discover how to choose between `floor`, `round`, and `ceil` functions for image resizing in MATLAB, ensuring optimal results for your photos.
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This video is based on the question https://stackoverflow.com/q/64085759/ asked by the user '박재환' ( https://stackoverflow.com/u/12936972/ ) and on the answer https://stackoverflow.com/a/64109754/ provided by the user 'MichaelTr7' ( https://stackoverflow.com/u/13669087/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: when resize my photo, what should i use function among floor, round, ceil in Matlab?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Which Function Should You Use in MATLAB: floor, round, or ceil for Resizing Images?

Resizing images in MATLAB can sometimes be tricky, especially when it comes to deciding which mathematical function to use. You may find yourself asking, "When I resize my photo, which function should I choose among floor, round, and ceil?". Let's break down this important question and provide a clear understanding of each function's purpose, along with practical guidance on when to use them.

Understanding the Functions

Before diving into specific use cases, let’s clarify what each function does:

ceil(): This function rounds the input value up to the nearest integer.

Example: ceil(204.8) returns 205.

round(): This function rounds the input value to the nearest integer. If the decimal is 0.5 or higher, it rounds up; otherwise, it rounds down.

Example:

round(204.8) returns 205.

round(204.2) returns 204.

floor(): This function rounds the input value down to the nearest integer.

Example: floor(204.8) returns 204.

Choosing the Right Function for Resizing

Now that we know what each function does, let's discuss how to choose the appropriate one when resizing images, particularly when your original image size is 256x256 pixels and your scale factor is 0.8. This results in a new size calculation of:

[[See Video to Reveal this Text or Code Snippet]]

From here, we need to decide how to handle the fractional value of 204.8.

When to Use Each Function

The choice of function depends on your specific requirements for the resized image:

Use ceil() if:

You need to ensure that the resized image size is at least 80% of the original size. This means that rounding up will ensure you maintain the desired size requirement.

Use floor() if:

You prefer a smaller image size, less than 80% of the original. This function will round down and minimize the new dimensions.

Use round() if:

Your scenario is flexible, and you want the closest integer without a strict preference for rounding up or down. This function provides a balanced approach to resizing.

Final Thoughts

In conclusion, the function you choose in MATLAB when resizing an image can significantly affect the output. By understanding the differences between floor, round, and ceil, you can confidently decide which function best suits your needs. Remember, if your requirement is to maintain a size of at least 80%, go for ceil(). If you’re looking for a more conservative reduction, floor() is your best bet, while round() offers a practical middle ground for fulfilling various resizing criteria.

Now, you're well-equipped to handle image resizing in MATLAB effectively. Happy coding!

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