Sunday, October 30, 2016

Creating an "accurate" NES NTSC Color Palette - Revisited

After discussing my NES palette capture pursuits with Brian Parker (RetroUSB) at PRGE 2016 I decided to revisit the sampling process of the paltest palette capture images.  Instead of running multiple median filter passes to normalize the captured image for sampling, it was discussed to try taking an area of pixel values and averaging them.

If you'd like to try my NESCAP palette, you can download it here.

The following is a debug image that plots out the pixels I sampled for the average.  This was useful for ensuring that I wasn't sampling erroneous data and/or sampling unintended colors.


The resulting palette, NESCAP.pal, was within +/- 1% difference, so the original NTSCU.pal still is a valid palette to use, but there's always the nth degree of improvement to be made as seen below!


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6 comments:

  1. UnknownSeptember 22, 2017 at 9:17 PM

    What's a detla?

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  2. Piotr GrochowskiDecember 2, 2018 at 8:18 AM

    this is the proper NES palette: http://s000.tinyupload.com/?file_id=24035444096413598988

    ReplyDelete
  3. UnknownAugust 31, 2021 at 10:35 AM

    The NES palette is a 64 colour palette, defined by the following colours: 585858, 00237C, 0D1099, 300092, 4F006C, 600035, 5C0500, 461800, 272D00, 093E00, 004500, 004106, 003545, 000000, 000000, 000000, A1A1A1, 0B53D7, 3337FE, 6621F7, 9515BE, AC166E, A62721, 864300, 596200, 2D7A00, 0C8500, 007F2A, 006D85, 000000, 000000, 000000, FFFFFF, 51A5FE, 8084FE, BC6AFE, F15BFE, FE5EC4, FE7269, E19321, ADB600, 79D300, 51DF21, 3AD974, 39C3DF, 424242, 000000, 000000, FFFFFF, B5D9FE, CACAFE, E3BEFE, F9B8FE, FEBAE7, FEC3BC, F4D199, DEE086, C6EC87, B2F29D, A7F0C3, A8E7F0, ACACAC, 000000, 000000.

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  4. SankarJuly 9, 2026 at 9:54 PM

    great

    ReplyDelete
  5. SankarJuly 9, 2026 at 9:55 PM

    Since the article focuses on pixel sampling, color analysis, and image processing techniques for improving graphical accuracy, it naturally aligns with Image Processing Projects For Final Year. These projects provide practical experience in color correction, image enhancement, pixel analysis, and digital graphics processing used in multimedia, computer vision, and game development.

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  6. SankarJuly 9, 2026 at 9:55 PM

    Accurate color palette generation also benefits from techniques that separate image regions and preserve object boundaries during analysis. Exploring Image Segmentation Projects helps students understand pixel-wise segmentation, region extraction, and advanced computer vision methods that support precise image analysis, restoration, and graphics enhancement.

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