AlparysoftDenoiseFilter

Alparysoft Denoise Filter What is Deinterlace? You possibly noticed that in many movies - especially shot with home camcorders - in episodes where fast movement is recorded, the image looks blurred and stripped. This is because many cameras divide each frame into even and odd lines: first the even lines are recorded, then the odd ones. Hence, each frame you observe on your monitor is actually comprised of two half-frames - "even" and "odd" ones. Half-frames are connected with each other line by line - that is, the first line of the first half-frame - the first line of the second half-frame; the second line of the first half-frame - the second line of the second half-frame; etc. As a result, if the frame contains fast enough movement, then on the second half-frame the moving object has already moved to slightly different position compared to the first half-frame, and at the connection points the "stripes" effect occurs.


Deinterlace is a process which allows to avoid the undesirable effects while connecting the two half-frames. Advantages of the given filter in comparison with analogues


Existing Deinterlace filters filter the whole frame, including the places on the frame where there was no movement, so there is a loss of information and deterioration of video in these areas. Our filter automatically may determine interlaced places of the frame and carry out filtration only in these places, thus parts of the frame on which there was no movement, remain high quality.


Many algorithms attempt to interpolate the odd lines by the even lines' points. But when using these techniques odd lines are recreated mathematically, thus the real object may look absolutely different. The techniques of that kind result in losing up to 50% of the initial video information - that is, half of the efforts you made while shooting your video were in vain. Our algorithm works in a principally different way. We use specially developed motion estimation algorithm. This algorithm finds a vector of objects displacement and returns them in necessary positions, compensating thus movement between half-frames. When using this method the frames are restored without losing any original information.


To speed up the process, the evaluation of movement is conducted in two steps: first the raw, then the fine positioning. Besides, the filter utilizes the MMX extension. Currently, our filter works in a real-time mode even on relatively weak computers - and on Athlon XP 1600+ it produces 35 frames per second. Simple methods work faster.


See The comparative characteristics of deinterlace filters


Alparysoft Denoise Filter:

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As the DirectShow-filter. It makes it convenient for creation of any multimedia application like player, the converter, etc. To request DirectShow version.

Our program Cleaner for Amateur Video uses the given technology

Our Deinterlace filter is accessible as the plugin to VirtualDub.

On the basis of the given technology the plugin for Adobe Premiere is released.

On the basis of the given technology the plugin for Ulead Media Studio is released.

The given technology is licensed by the company iuLab for use in the program iuVCR. The program iuVCR is intended for capture and compression of video. Since the version iuVCR 4.8.5.335 the given program has built - in Alparysoft Deinterlace filter.

How to adjust Deinterlace filter? The current version of the filter has some methods of filtration; you can choose them on the page "Filter settings"

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None - at a choice of this point the filter is disconnected and deinterlacing is not produced.

Only even rows - at a choice of the given method duplication of lines is made, even lines are copied into odd lines without changes. The speed of filtration is very high. Quality of filtration is bad.

Simple interpolation - odd lines are counted on the next even lines by methods of interpolation. The speed of filtration is high. The quality of received image is average. Similar methods are used in the majority of deinterlace filters.

Area based interpolation - only those places on the frame where interlace was found out are interpolated, the other part of the frame remains without changes. The speed of filtration is high. Allows saving those parts of the frame on which there was no movement.

Area based motion estimation - only those parts of the frame on which deinterlace was found out are changed, though restoration is made not by a method of interpolation, but by means of finding vectors of objects displacement. The method is most effective. The speed of filtration is average.

Fields Width and Height allow setting the size of output frame.

In the nearest future the release of the new version is expected where new method of filtration will be added and also the algorithms searching interlaced areas and blocks will be improved. Having registered at our forum, you can receive the information on new versions releases.