Method for detecting and rebuilding dynamic image picture element
A dynamic image and pixel technology, applied in image data processing, graphics and image conversion, instruments, etc., can solve the problems of image missing pixel erroneous reconstruction, erroneous judgment, and erroneous omission pixel reconstruction.
Inactive Publication Date: 2007-03-14
SILICON INTEGRATED SYSTEMS
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[0015] The above is the dynamic pixel adjustment calculation process in the prior art. This method is simple and easy to implement, but because only the difference value of one field is used to judge whether the missing pixel is located in a static or non-static area, although it can be used for regional dynamic images. However, fast motion or slurred motion will be misjudged as a static region, because the difference between adjacent fields will be judged to be less than the critical value due to fast motion or slurred motion, and False missing pixel reconstruction using front and back field interpolation
If there are only one or two missing pixels due to misjudgment and reconstruction, it will not have much impact. If there are many pixels that need to be reconstructed, it will cause a considerable degree of image distortion.
[0016] In order to solve the above-mentioned erroneous reconstruction of image missing pixels caused by erroneous judgment, the present invention proposes a method for detection and reconstruction of dynamic image pixels to achieve correct judgment of static and non-static areas
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[0046] Referring to FIG. 4 , the embodiment of the present invention uses the dynamic pixel adjustment calculation flow of the static count map, and proposes to use the static count map as the basis for judging static and non-static areas. As shown in the figure, F(n) is a time field function. When the dynamic pixel adjustment calculation process starts, the time field function F(n) is calculated by de-interlacing (step 401), and the de-interlacing processor inputs a time field F(n), and a plurality of reference fields, such as the front time field F(n-1) and a back time field with a function of F(n+1) (step 403), after that, the time in the image is sequentially scanned with a raster The missing pixels in field F(n), which occur in the pixels discarded in the sequential scan to interlaced scan conversion, are interpolated (step 405). With the difference calculation formula described in Fig. 2, i.e. formula (3), calculate the difference value (step 407) of the surrounding pixe...
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The present invention discloses dynamic image pixel detecting and reconstructing method and proposes one kind of static counting diagram used in reconstructing calculation of lost pixel in conversion from the crossed scanning to orderly scanning. First, the lost pixel is judged for whether to be in static area or in non-static area, and then, front and later field interpolation or peripheral field interpolation is used separately to reach the aim of optimal reconstruction of lost pixel. The reconstruction process includes the steps of inputting the time field and reference fields; scanning to obtain the lost pixel in the time field; calculating the difference value around the lost pixel; comparing the difference value and one critical value; correcting the value in one static counter based on the comparison result; reconstructing the lost pixel; outputting the reconstructed de-interleaving pixel; and calculating until finishing the scanning and reconstructing process.
Description
technical field [0001] The invention relates to a method for detecting and reconstructing dynamic image pixels, and proposes a reconstruction judgment method using a static counter map (Static counter map) as missing pixels (missing pixels) in an interlaced-scan image, judging Whether the pixel is located in a static region (static region) or a non-static region (non-static region), and then an interpolation method is used to reconstruct the missing pixel. Background technique [0002] A prior art motion-adaptive algorithm uses the difference between adjacent surrounding pixels to determine whether the missing pixel in the interlaced image is located in a static area or a non-static area. If it is judged that the missing pixel is located in a static area, the missing pixel is reconstructed by inter-field interpolation using the pixel information of neighboring fields; if it is judged that the missing pixel is located in a non-static area , the missing pixel is reconstructed...
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IPC IPC(8): G06T3/40
CPCG06T3/4007
Inventor 林文国吕忠晏
Owner SILICON INTEGRATED SYSTEMS