It thoroughly suppresses the use of such functions, ensuring both high resolution and high color separation performance.\u00a0The goal is a smooth, natural image like silk.\u00a0The origin of the name of the SILKYPIX is there.<\/p>\n
<\/p>\n
High resolution<\/span>
\n–\u00a0Achieve higher resolution –<\/span><\/h2>\nIt is generally recognized that resolution is determined by the number of pixels in the lens and image sensor.\u00a0In practice, however, the process of demosaicing during the development process is a big key.\u00a0In other words, you can obtain higher resolution by shooting with RAW data and developing with the SILKYPIX series.<\/p>\n
![\"What](\"\/en\/files\/media\/2019\/11\/4b9ee6a7532ea4be440757df2f52be16.jpg\")
<\/p>\n
<\/p>\n
High color separation performance<\/span>
\n– Equipped with a proprietary demosaic logic system –<\/span><\/h2>\nDigital cameras have a special effect on highly saturated color boundaries, where the edges are dropped and a white false edge is created.\u00a0This is the reason why it is said to be a digital picture. This happens because the color resolution (hue) is lower than the brightness resolution.<\/p>\n
In SILKYPIX, colors are separated well, and there are few jagged, false edges, and false colors at the high saturation border.\u00a0Whites 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.\u00a0In the prior art, the poor separation of colors caused a number of poor phenomena that dirty the image.\u00a0The SILKYPIX series features an entirely new type of demosaic logic to improve color resolution, providing a high-level color resolution.<\/p>\n
<\/h3>\n
<\/p>\n
Cyan-yellow\u00a0boundary separation<\/h3>\n
\n
![\"Separating](\"\/en\/files\/media\/2019\/11\/075088c8415ffb40cf335bd51b90bcd9.jpg\")
<\/p>\n
\n- SILKYPIX:\u00a0It can be seen that even the difficult cyan and yellow borders are cleanly separated at high resolutions.<\/li>\n
- Development software – A:\u00a0You will notice that the outlines are blurred and that the resolution is not sufficient.<\/li>\n
- Development software – B:\u00a0You can see that the outline is black and the color separation is not working properly.<\/li>\n<\/ul>\n
<\/h3>\n
<\/p>\n
Red-blue boundary separation<\/h3>\n
\n
![\"Separating](\"\/en\/files\/media\/2019\/11\/04b354a3249a7ebb54c87817792cc3ec.jpg\")
<\/p>\n
\n- SILKYPIX:\u00a0Even the hard-to-do boundary between blue and red has been decomposed at a high level.<\/li>\n
- Development software – A:\u00a0The red area is discolored, and the separation is not performed properly.<\/li>\n
- Development software – B:\u00a0The red is a little vermilion, and the blue part of the border is dark.<\/li>\n<\/ul>\n
<\/h3>\n
<\/p>\n
Magenta-green boundary separation<\/h3>\n
\n
![\"Magenta-green](\"\/en\/files\/media\/2019\/11\/234ac12d18a4876d658ccd7d4f4fda18.jpg\")
<\/p>\n
\n- SILKYPIX:\u00a0Both magenta and green were clearly separated, showing good color development.<\/li>\n
- Development software – A:\u00a0Many corners appear in the outline, and a blackish color is added to the outline.<\/li>\n
- Development software – B:\u00a0The curve in the upper left of C is outside the outline.\u00a0In addition, the overall saturation is reduced.<\/li>\n<\/ul>\n
<\/h2>\n
<\/p>\n
Ideal frequency response<\/span>
\n–\u00a0Ideal characteristics for all frequencies –<\/span><\/h2>\nThe SILKYPIX is ideally suited for all frequencies up to the critical resolution.\u00a0Simply raising the limit resolution does not produce good image unless a high linear decomposition is achieved in various spatial frequency regions up to that.\u00a0SILKYPIX is successful in ensuring unparalleled performance not only at full resolution, but also at all frequencies.\u00a0This also suppresses the moire-like ugly phenomena.<\/p>\n
Spatial frequency response characteristics<\/h4>\n
![\"Spatial](\"\/en\/files\/media\/2019\/11\/e5b054e78b1a12679caa9c1773897a0b.jpg\")
<\/p>\n
![\"SILKYPIX's](\"\/en\/files\/media\/2019\/11\/3314793ce4cc55bf9035cb5f5244062e.jpg\")
<\/p>\n
Almost all resolution charts with different spatial frequencies have little observed false colors or moire occurrences.\u00a0So we can see that it has flat characteristics in the continuous spatial frequency plane.<\/p>\n
![\"A's](\"\/en\/files\/media\/2019\/11\/21ead8ab81247d18c0c240159ec02a59.jpg\")
<\/p>\n
From the low frequency range, we can see that all the false colors are generated.<\/p>\n
![\"Spatial](\"\/en\/files\/media\/2019\/11\/1ec7a19a24fa6273d7fada664b458b2c.jpg\")
<\/p>\n
Although the resolution in the high frequency range is achieved, false colors still occur.<\/p>\n
<\/p>\n
Low false color<\/span>
\n–\u00a0Advanced pixel value prediction logic –<\/span><\/h2>\nMost digital cameras today have an image sensor with a structure called a Bayer array to obtain color images.\u00a0Rather than sampling R, G, and B, which are the three primary colors of light at the same time, one sensor samples only one of the colors.\u00a0By arranging the RGB sensors in order, a color image is obtained as a whole.<\/p>\n
By their nature, this Bayer array is colored at the edges and in the fine structures.\u00a0This is known as false color. The false color occurs\u00a0mainly around the image due to lens aberrations.\u00a0 In addition, the false color occurs because the focus is distributed forward and backward on the axis of focus due to the difference in the index of refraction, also\u00a0it causes a folding error at high spatial frequency. The false colors can be caused by a variety of causes, including the leakage of charge from the image sensor.<\/p>\n
In the SILKYPIX series, this false color is suppressed at higher levels with advanced pixel-value prediction logic.\u00a0In fact, high resolution and low false color conflict, and achieving high resolution results in more false colors, while suppressing false colors results in a decrease in resolution.\u00a0The SILKYPIX series makes both very high-level compatibility.<\/p>\n
![\"False](\"\/en\/files\/media\/2019\/11\/0942fb3bf4b9d80756cea39395c2b8f4.jpg\")
<\/p>\n
<\/p>\n
Improvement of S\/N during high-sensitivity shooting<\/span>
\n–\u00a0Surprisingly clean images in high-sensitivity shooting –<\/span><\/h2>\nS\/N is the balance between resolution and noise level.\u00a0The effects and resolution of noise reduction are trade-offs.\u00a0If you shoot a dark subject at high sensitivity, the noise in the image sensor can introduce color noise inherent in digital cameras.\u00a0This is very bad for humans.\u00a0Many photographers don’t like this, and they give up on high-sensitivity shooting.<\/p>\n
The SILKYPIX series has a function to reduce the color noise, and it can produce surprisingly clean images even in high-sensitivity shooting.\u00a0This will extend the range of shooting methods and subjects, allowing you to create new pictures.<\/p>\n
Comparison of color noise during high-sensitivity shooting<\/h4>\n
![\"Comparison](\"\/en\/files\/media\/2019\/11\/501cfd2ceb53b263009f8b0baae3fe8b.jpg\")
<\/p>\n
<\/p>\n
Reduce highlight hue deviation<\/span>
\n–\u00a0Reduce hue drift at a high level –<\/span><\/h2>\nThis feature suppresses the effect of hue rotation in the highlights.\u00a0For example, in a portrait image, if the exposure is raised before the skin is highlighted, the highlight border from the skin tone to the white is likely to become yellow.\u00a0In the SILKYPIX series, this hue deviation is suppressed at high levels for natural highlights reproduction.<\/p>\n
<\/p>\n
Faithful color reproduction and a color mode tailored to the subject<\/span>
\n–\u00a0Equipped with unique color matching logic –<\/span><\/h2>\nSILKYPIX has its own color matching logic that uses several color matching data from a number of test footage to ensure accurate color reproduction under various light sources.\u00a0Highly accurate color matching is possible for light sources with various spectrum distributions, such as fluorescent lights, light bulbs, ragtones, strobe light, and mixed light.\u00a0This eliminates very little bad light source that degrades color fidelity.<\/p>\n
With SILKYPIX, you can produce straightforward, highly saturated, linear image without creating your own colors.\u00a0In addition, there are two other mode settings, called color mode, that determine the direction of color reproduction.<\/p>\n
Colors don’t always produce “good” image of faithful color reproduction only.\u00a0We know that the color that remains in our memory, or the color that we want this object to be in, is out of place.\u00a0When remembered or expected colors are reproduced as image, they look like “good-colored image”.<\/p>\n
The “memory color” mode takes advantage of these characteristics to create colors according to the memory color and expected color trends.\u00a0It also has a “Beautiful flesh tone” mode, which makes it difficult to reproduce a person’s skin beauty with memory colors.\u00a0This is to make the color centered on the actual skin tone as close as possible to “good skin tone” and to balance with the nearest color, so the overall saturation is reduced and the expression is high lightness except for the color far away from the skin tone.\u00a0With SILKYPIX, you can use these color modes to achieve color reproduction suitable for landscapes, people, and so on.<\/p>\n
![\"The](\"\/en\/files\/media\/2019\/11\/5d12acf6d89ed250c6f2f97e36826db6.jpg\")
<\/p>\n","protected":false},"featured_media":3599,"template":"","tags":[35],"howto_cat":[9,10],"class_list":["post-989","how_to","type-how_to","status-publish","has-post-thumbnail","hentry","tag-usage","howto_cat-article","howto_cat-method"],"acf":[],"yoast_head":"\n
What is the SILKYPIX? - SILKYPIX.COM<\/title>\n<meta name=\"description\" content=\"The SILKYPIX series is a digital processing software that provides powerful support of RAW data and JPEG data.\u00a0The goal is a smooth, natural image like silk. The origin of the name of the SILKYPIX is there.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silkypix.com\/en\/how-to\/article\/method\/989\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is the SILKYPIX? - SILKYPIX.COM\" \/>\n<meta property=\"og:description\" content=\"The SILKYPIX series is a digital processing software that provides powerful support of RAW data and JPEG data.\u00a0The goal is a smooth, natural image like silk. The origin of the name of the SILKYPIX is there.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silkypix.com\/en\/how-to\/article\/method\/989\/\" \/>\n<meta property=\"og:site_name\" content=\"SILKYPIX.COM\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-01T10:49:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.silkypix.com\/en\/wp-content\/uploads\/2025\/01\/ogp.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"675\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@SILKYPIX_WORLD\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"9 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silkypix.com\/en\/how-to\/article\/method\/989\/\",\"url\":\"https:\/\/www.silkypix.com\/en\/how-to\/article\/method\/989\/\",\"name\":\"What is the SILKYPIX? - SILKYPIX.COM\",\"isPartOf\":{\"@id\":\"https:\/\/www.silkypix.com\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.silkypix.com\/en\/how-to\/article\/method\/989\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.silkypix.com\/en\/how-to\/article\/method\/989\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.silkypix.com\/en\/wp-content\/uploads\/2019\/11\/Basics_002.jpg\",\"datePublished\":\"2019-11-28T00:50:38+00:00\",\"dateModified\":\"2024-11-01T10:49:19+00:00\",\"description\":\"The SILKYPIX series is a digital processing software that provides powerful support of RAW data and JPEG data.\u00a0The goal is a smooth, natural image like silk. 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<\/p>\n\n– Equipped with a proprietary demosaic logic system –<\/span><\/h2>\n
Digital cameras have a special effect on highly saturated color boundaries, where the edges are dropped and a white false edge is created.\u00a0This is the reason why it is said to be a digital picture. This happens because the color resolution (hue) is lower than the brightness resolution.<\/p>\n
In SILKYPIX, colors are separated well, and there are few jagged, false edges, and false colors at the high saturation border.\u00a0Whites 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.\u00a0In the prior art, the poor separation of colors caused a number of poor phenomena that dirty the image.\u00a0The SILKYPIX series features an entirely new type of demosaic logic to improve color resolution, providing a high-level color resolution.<\/p>\n
<\/h3>\n
<\/p>\n
Cyan-yellow\u00a0boundary separation<\/h3>\n
\n
<\/p>\n
- \n
- SILKYPIX:\u00a0It can be seen that even the difficult cyan and yellow borders are cleanly separated at high resolutions.<\/li>\n
- Development software – A:\u00a0You will notice that the outlines are blurred and that the resolution is not sufficient.<\/li>\n
- Development software – B:\u00a0You can see that the outline is black and the color separation is not working properly.<\/li>\n<\/ul>\n
<\/h3>\n
<\/p>\n
Red-blue boundary separation<\/h3>\n
\n<\/p>\n- \n
- SILKYPIX:\u00a0Even the hard-to-do boundary between blue and red has been decomposed at a high level.<\/li>\n
- Development software – A:\u00a0The red area is discolored, and the separation is not performed properly.<\/li>\n
- Development software – B:\u00a0The red is a little vermilion, and the blue part of the border is dark.<\/li>\n<\/ul>\n
<\/h3>\n
<\/p>\n
Magenta-green boundary separation<\/h3>\n
\n<\/p>\n- \n
- SILKYPIX:\u00a0Both magenta and green were clearly separated, showing good color development.<\/li>\n
- Development software – A:\u00a0Many corners appear in the outline, and a blackish color is added to the outline.<\/li>\n
- Development software – B:\u00a0The curve in the upper left of C is outside the outline.\u00a0In addition, the overall saturation is reduced.<\/li>\n<\/ul>\n
<\/h2>\n
<\/p>\n
Ideal frequency response<\/span>
\n–\u00a0Ideal characteristics for all frequencies –<\/span><\/h2>\nThe SILKYPIX is ideally suited for all frequencies up to the critical resolution.\u00a0Simply raising the limit resolution does not produce good image unless a high linear decomposition is achieved in various spatial frequency regions up to that.\u00a0SILKYPIX is successful in ensuring unparalleled performance not only at full resolution, but also at all frequencies.\u00a0This also suppresses the moire-like ugly phenomena.<\/p>\n
Spatial frequency response characteristics<\/h4>\n
<\/p>\n<\/p>\nAlmost all resolution charts with different spatial frequencies have little observed false colors or moire occurrences.\u00a0So we can see that it has flat characteristics in the continuous spatial frequency plane.<\/p>\n
<\/p>\nFrom the low frequency range, we can see that all the false colors are generated.<\/p>\n
<\/p>\nAlthough the resolution in the high frequency range is achieved, false colors still occur.<\/p>\n
<\/p>\n
Low false color<\/span>
\n–\u00a0Advanced pixel value prediction logic –<\/span><\/h2>\nMost digital cameras today have an image sensor with a structure called a Bayer array to obtain color images.\u00a0Rather than sampling R, G, and B, which are the three primary colors of light at the same time, one sensor samples only one of the colors.\u00a0By arranging the RGB sensors in order, a color image is obtained as a whole.<\/p>\n
By their nature, this Bayer array is colored at the edges and in the fine structures.\u00a0This is known as false color. The false color occurs\u00a0mainly around the image due to lens aberrations.\u00a0 In addition, the false color occurs because the focus is distributed forward and backward on the axis of focus due to the difference in the index of refraction, also\u00a0it causes a folding error at high spatial frequency. The false colors can be caused by a variety of causes, including the leakage of charge from the image sensor.<\/p>\n
In the SILKYPIX series, this false color is suppressed at higher levels with advanced pixel-value prediction logic.\u00a0In fact, high resolution and low false color conflict, and achieving high resolution results in more false colors, while suppressing false colors results in a decrease in resolution.\u00a0The SILKYPIX series makes both very high-level compatibility.<\/p>\n
<\/p>\n<\/p>\n
Improvement of S\/N during high-sensitivity shooting<\/span>
\n–\u00a0Surprisingly clean images in high-sensitivity shooting –<\/span><\/h2>\nS\/N is the balance between resolution and noise level.\u00a0The effects and resolution of noise reduction are trade-offs.\u00a0If you shoot a dark subject at high sensitivity, the noise in the image sensor can introduce color noise inherent in digital cameras.\u00a0This is very bad for humans.\u00a0Many photographers don’t like this, and they give up on high-sensitivity shooting.<\/p>\n
The SILKYPIX series has a function to reduce the color noise, and it can produce surprisingly clean images even in high-sensitivity shooting.\u00a0This will extend the range of shooting methods and subjects, allowing you to create new pictures.<\/p>\n
Comparison of color noise during high-sensitivity shooting<\/h4>\n
<\/p>\n<\/p>\n
Reduce highlight hue deviation<\/span>
\n–\u00a0Reduce hue drift at a high level –<\/span><\/h2>\nThis feature suppresses the effect of hue rotation in the highlights.\u00a0For example, in a portrait image, if the exposure is raised before the skin is highlighted, the highlight border from the skin tone to the white is likely to become yellow.\u00a0In the SILKYPIX series, this hue deviation is suppressed at high levels for natural highlights reproduction.<\/p>\n
<\/p>\n
Faithful color reproduction and a color mode tailored to the subject<\/span>
\n–\u00a0Equipped with unique color matching logic –<\/span><\/h2>\nSILKYPIX has its own color matching logic that uses several color matching data from a number of test footage to ensure accurate color reproduction under various light sources.\u00a0Highly accurate color matching is possible for light sources with various spectrum distributions, such as fluorescent lights, light bulbs, ragtones, strobe light, and mixed light.\u00a0This eliminates very little bad light source that degrades color fidelity.<\/p>\n
With SILKYPIX, you can produce straightforward, highly saturated, linear image without creating your own colors.\u00a0In addition, there are two other mode settings, called color mode, that determine the direction of color reproduction.<\/p>\n
Colors don’t always produce “good” image of faithful color reproduction only.\u00a0We know that the color that remains in our memory, or the color that we want this object to be in, is out of place.\u00a0When remembered or expected colors are reproduced as image, they look like “good-colored image”.<\/p>\n
The “memory color” mode takes advantage of these characteristics to create colors according to the memory color and expected color trends.\u00a0It also has a “Beautiful flesh tone” mode, which makes it difficult to reproduce a person’s skin beauty with memory colors.\u00a0This is to make the color centered on the actual skin tone as close as possible to “good skin tone” and to balance with the nearest color, so the overall saturation is reduced and the expression is high lightness except for the color far away from the skin tone.\u00a0With SILKYPIX, you can use these color modes to achieve color reproduction suitable for landscapes, people, and so on.<\/p>\n
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