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BMart1

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03-15-2017
06:28 AM

13 Views

ResizeFilter

What does ResizeFilter do? Is it different than ResizeLanczos?

Bruno

12 Replies

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gaston-hillar

Black Belt

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03-20-2017
08:55 PM

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Hi Bruno,

ResizeFilter changes the size of an image using a generic filter.

ResizeLanczos changes an image size using interpolation with the Lanczos filter.

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gaston-hillar

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03-20-2017
08:56 PM

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Hi Bruno,

The following page for the documentation of the latest version of Intel IPP provides you with all the resize functions with prior initialization. You can check the documentation to see all the differences. You have a huge number of resize functions.

https://software.intel.com/en-us/node/529047

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gaston-hillar

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03-20-2017
08:57 PM

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Bruno,

I forgot to include the documentation for the ResizeFilter function. The following is the link: https://software.intel.com/en-us/node/504401

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The documentation for the ResizeLanczos function is available in the following link: https://software.intel.com/en-us/node/504373

gaston-hillar

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03-20-2017
09:03 PM

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BMart1

New Contributor II

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03-21-2017
05:32 AM

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Hi Gastón,

The documentation is really scarce. You can call ResizeFilterInit with option ippResizeFilterLanczos, which sounds really similar to calling ResizeLanczos. I'm a signal processing noob, so maybe the distinction is obvious to people of other backgrounds.

Bruno

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gaston-hillar

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03-21-2017
09:42 AM

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Hi Bruno,

I've been a user for Intel Performance Primitives for a long time. I never had problems with the documentation. However, the documentation provides information about calling the different functions and doesn't explain the goal for each filter. This is domain specific. So, you won't become a signal processing expert by reading the documentation. You require other sources to become a signal processing expert, combined with the documentation on how to call the functions. You need to understand what you want to do and the documentation will allow you to use the appropriate function to achieve your goals.

The ResizeFilterInit function allows you to specify the desired filter to use. There are many ways to achieve the same result.

You can check additional documentation to understand the difference between the filters and they effect and when it is convenient to use each of them.

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gaston-hillar

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03-21-2017
09:44 AM

13 Views

The following link might be helpful. It provides some details about ROI Processing in Geometric Transforms.

https://software.intel.com/en-us/node/504351#9CB2BEA9-5C3D-4E7A-AC42-7CD82CF74E2B

Just make sure you check other sources to have a better understanding of what you can do with these functions.

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The main idea of ResizeFilter with Lanczos interpolation is the same as for ResizeLanczos. But ResizeFilter computes pixel values using fixed-point arithmetic, so it has lower accuracy than ResizeLanczos that uses floating point arithmetic to interpolate pixels.

Jing_X_Intel

Moderator

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03-21-2017
05:11 PM

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Valentin_K_Intel

Employee

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03-22-2017
01:09 AM

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In addition ResizeLanczos API is developed to support external threading.

Best regards,

Valentin

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Adriaan_van_Os

New Contributor I

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03-22-2017
04:06 AM

13 Views

> But ResizeFilter computes pixel values using fixed-point arithmetic, so it has lower accuracy than ResizeLanczos that uses floating point arithmetic to interpolate pixels.

It looks like ResizeFilter is available for 8u_C1R only, so ResizeFilter is of very limited use. You want to say that this function uses fixed-point arithmetic for 8u ? What is the size of this fixed-point arithmetic ? And how can this lead to "lower accuracy" for 8u ?

ResizeLanczos uses floating-point arithmetic for 8u, 16u, 16s, 32f and 64f ? What size of floating-point arithmetic ? And where is this documented (as the original question was related to (lack of) documentation) ?

And what type and size of arithmetic is used by ResizeLinear, ResizeCubic and ResizeSuper ?

Regards,

Adriaan van Os

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Valentin_K_Intel

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03-22-2017
04:33 AM

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Hi Adriaan van Os,

The type of arithmetic for internal computations is always compromise between accuracy and performance.

Best regards,

Valentin

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Adriaan_van_Os

New Contributor I

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03-22-2017
04:49 AM

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> The type of arithmetic for internal computations is always compromise between accuracy and performance.

That is like saying like that 2 is always greater than 1. Which is interesting but not informative. Nor addressing my question.

Regards,

Adriaan van Os

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