mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
84 lines
2.7 KiB
84 lines
2.7 KiB
Super Resolution |
|
================ |
|
|
|
.. highlight:: cpp |
|
|
|
The Super Resolution module contains a set of functions and classes that can be used to solve the problem of resolution enhancement. There are a few methods implemented, most of them are descibed in the papers [Farsiu03]_ and [Mitzel09]_. |
|
|
|
|
|
|
|
superres::SuperResolution |
|
------------------------- |
|
Base class for Super Resolution algorithms. |
|
|
|
.. ocv:class:: superres::SuperResolution : public Algorithm, public superres::FrameSource |
|
|
|
The class is only used to define the common interface for the whole family of Super Resolution algorithms. |
|
|
|
|
|
|
|
superres::SuperResolution::setInput |
|
----------------------------------- |
|
Set input frame source for Super Resolution algorithm. |
|
|
|
.. ocv:function:: void superres::SuperResolution::setInput(const Ptr<FrameSource>& frameSource) |
|
|
|
:param frameSource: Input frame source |
|
|
|
|
|
|
|
superres::SuperResolution::nextFrame |
|
------------------------------------ |
|
Process next frame from input and return output result. |
|
|
|
.. ocv:function:: void superres::SuperResolution::nextFrame(OutputArray frame) |
|
|
|
:param frame: Output result |
|
|
|
|
|
|
|
superres::SuperResolution::collectGarbage |
|
----------------------------------------- |
|
Clear all inner buffers. |
|
|
|
.. ocv:function:: void superres::SuperResolution::collectGarbage() |
|
|
|
|
|
|
|
superres::createSuperResolution_BTVL1 |
|
------------------------------------- |
|
Create Bilateral TV-L1 Super Resolution. |
|
|
|
.. ocv:function:: Ptr<SuperResolution> superres::createSuperResolution_BTVL1() |
|
|
|
.. ocv:function:: Ptr<SuperResolution> superres::createSuperResolution_BTVL1_GPU() |
|
|
|
This class implements Super Resolution algorithm described in the papers [Farsiu03]_ and [Mitzel09]_ . |
|
|
|
Here are important members of the class that control the algorithm, which you can set after constructing the class instance: |
|
|
|
* **int scale** Scale factor. |
|
|
|
* **int iterations** Iteration count. |
|
|
|
* **double tau** Asymptotic value of steepest descent method. |
|
|
|
* **double lambda** Weight parameter to balance data term and smoothness term. |
|
|
|
* **double alpha** Parameter of spacial distribution in Bilateral-TV. |
|
|
|
* **int btvKernelSize** Kernel size of Bilateral-TV filter. |
|
|
|
* **int blurKernelSize** Gaussian blur kernel size. |
|
|
|
* **double blurSigma** Gaussian blur sigma. |
|
|
|
* **int temporalAreaRadius** Radius of the temporal search area. |
|
|
|
* **Ptr<DenseOpticalFlowExt> opticalFlow** Dense optical flow algorithm. |
|
|
|
|
|
|
|
.. [Farsiu03] S. Farsiu, D. Robinson, M. Elad, P. Milanfar. Fast and robust Super-Resolution. Proc 2003 IEEE Int Conf on Image Process, pp. 291–294, 2003. |
|
|
|
.. [Mitzel09] D. Mitzel, T. Pock, T. Schoenemann, D. Cremers. Video super resolution using duality based TV-L1 optical flow. DAGM, 2009.
|
|
|