– Advanced pixel value prediction logic – Spatial frequency response characteristicsĪlmost all resolution charts with different spatial frequencies have little observed false colors or moire occurrences. So we can see that it has flat characteristics in the continuous spatial frequency plane.įrom the low frequency range, we can see that all the false colors are generated.Īlthough the resolution in the high frequency range is achieved, false colors still occur. The SILKYPIX is ideally suited for all frequencies up to the critical resolution. Simply raising the limit resolution does not produce good image unless a high linear decomposition is achieved in various spatial frequency regions up to that. SILKYPIX is successful in ensuring unparalleled performance not only at full resolution, but also at all frequencies. This also suppresses the moire-like ugly phenomena. – Ideal characteristics for all frequencies – Development software – B: The curve in the upper left of C is outside the outline. In addition, the overall saturation is reduced.Development software – A: Many corners appear in the outline, and a blackish color is added to the outline.SILKYPIX: Both magenta and green were clearly separated, showing good color development.Development software – B: The red is a little vermilion, and the blue part of the border is dark.Development software – A: The red area is discolored, and the separation is not performed properly. SILKYPIX: Even the hard-to-do boundary between blue and red has been decomposed at a high level.Development software – B: You can see that the outline is black and the color separation is not working properly.Development software – A: You will notice that the outlines are blurred and that the resolution is not sufficient.SILKYPIX: It can be seen that even the difficult cyan and yellow borders are cleanly separated at high resolutions.In SILKYPIX, colors are separated well, and there are few jagged, false edges, and false colors at the high saturation border. Whites and blacks can be represented well, but dark borders can be blurred as if they were too focused, become jagged, or have white or black, neutral areas of the border. In the prior art, the poor separation of colors caused a number of poor phenomena that dirty the image. The SILKYPIX series features an entirely new type of demosaic logic to improve color resolution, providing a high-level color resolution. This happens because the color resolution (hue) is lower than the brightness resolution. – Equipped with a proprietary demosaic logic system –ĭigital cameras have a special effect on highly saturated color boundaries, where the edges are dropped and a white false edge is created. This is the reason why it is said to be a digital picture. It is generally recognized that resolution is determined by the number of pixels in the lens and image sensor. In practice, however, the process of demosaicing during the development process is a big key. In other words, you can obtain higher resolution by shooting with RAW data and developing with the SILKYPIX series. It thoroughly suppresses the use of such functions, ensuring both high resolution and high color separation performance. The goal is a smooth, natural image like silk. The origin of the name of the SILKYPIX is there.
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