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The Easy Histogram Equalization 2022 Crack filter corrects for the fact that in many video sequences the histogram of the source video often does not fit the assumptions that are made when deriving the histogram equalization algorithm. For instance, in satellite images the darkest part of the image always has the lowest percentage of pixels. When a video is shot in a brightly lit room, the darkest areas often also happen to be the brightest ones in the video. This filter attempts to correct for this. It is assumed that the source video is already linear. If this filter is used after a MPEG-2 movie, as is done in many video-to-video conversion systems, the MPEG-2 decoder will try to compensate for the apparent loss of brightness when converting from left to right, and vice versa. This is sometimes done with the MPEG-2 decoder itself, but usually it requires additional parameters to be set. If the input video is not linear, or if this filter is used on the output, the additional compensation may harm the resulting picture content. This is the same as assuming that the histogram of the source video is equal to the histogram of the output. Inputs: Input 1: Source video, Input 2: The input video is muted when Input 3 is active. Outputs: Output 1: Source video, Output 2: The output video is muted when Output 3 is active. The Easy Histogram Equalization Torrent Download filter processes the video frames of an input video one at a time. The histograms of the input and output videos are compared and a color histogram equalization is performed on the input and output videos in a similar manner. This histogram equalization reduces the difference between the distribution of bright and dark pixels. The histogram equalization typically increases the number of dark pixels in the light areas and the number of bright pixels in the dark areas. The resulting image has a higher contrast. If this is not desired, the contrast of the resulting image may be reduced by modifying the contrast values in the image after applying this filter. The term "equalization" means that the histogram of the entire image is corrected by distributing the pixel intensities uniformly across the intensity range. The histograms can be inspected and modified by entering the Image/Levels filter of VirtualDub. Use the Options/Parameters to set any parameter you like. (The Advanced Options/Parameters Dialog can be used to adjust the parameters independently.) a5204a7ec7
This filter effects a global histogram equalization. It is particularly useful for improving image exposure in those situations where the camera's auto-exposure functionality has become inadequate. In video, it can also be used to improve the "blown out highlights" (highlights that appear too bright) that often occur in otherwise properly exposed scenes. For example, it will be able to slightly improve image exposure, even if the camera's auto-exposure system is underexposed. The filter operates by converting the image data of each frame to a global histogram. The global histogram is then converted back into an image. The histogram is then displayed both visually (graphically) and in the image preview window. Additionally, if you need to quantify the total range of image data, then the histogram is analyzed. The histogram is shown in the software's preferences, once it has been configured. Histogram Equalization Warning: There is an important restriction in the Easy Histogram Equalization filter. If the source video has the same (black) color during consecutive frames, then the Easy Histogram Equalization filter will change all pixels from black to white on the first frame. The histogram display is thus no longer representative. If this is a concern in your scenario, you will have to use a different filter. In addition to that, any non-black area in the video will be converted to pure white. No adjustments are made to the brightness or contrast of the non-black areas. Originally, this filter performed a global histogram equalization in much the same way as the Donald Graft's Histogram Equalization filter does. However, that filter did not preserve the color content of the non-black areas. At that time, the Easy Histogram Equalization was developed to avoid the aforementioned problems. The Easy Histogram Equalization will also not work as expected if there are multiple black areas. It will convert all these areas to white. Additional Information: If you like this filter, you should also be aware of its sibling, the Fast Histogram Equalization filter. This is a smartly written, fast histogram equalization implementation. It can be very useful for properly correcting a badly exposed video that was recorded with a camera that had its auto-exposure system defeated. Edit histogram data This filter collects and displays the histogram data of the video or image data, and can display the histogram on the video itself, or overlay the hist
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