CHAPTER 1 – Full Spectrum RGB

Have you noticed how the colors from your digital camera are distorted?

Butterfly-Transfer Point your digital camera at a purple object. Compare the image in the view finder with the original purple object in front of you. Often the image of the blue object on screen will be different from the purple (Fedex box or purple bride’s maid dress for example) object itself, as shown in the following figure:

The first step in removing color distortion is to overcome the limited RGB spectrum of your camera. Digital cameras do NOT reproduce colors the way the human eye sees them.

This is because your eyes see this spectrum:
Large-Spectrum

but most cameras see this spectrum:
Small-Spectum

Although the distortion is across the entire color spectrum, it’s particularly noticeable in the greens and in the higher frequencies of indigo, purple and violet, as shown in the below photos.

IMAGE OF PURPLE FLOWERS

Before – Very lacking in color and vibrancy
After – Notice how the greens and purples are much more vibrant

Most digital cameras employ an abbreviated color spectrum because of how the RGB color space is defined and implemented. Perfectly Clear provides the only solution for accurate colors in your photos.

The eyes see the colors so why can’t the cameras see the colors?

Figure-3-aYour eyes see the full spectrum of visual light. Most cameras see a more limited spectrum, which is one of the 15 Ways Your Camera Distorts Color. This means the colors of your photos are distorted so they don’t match the colors of the original image of the event in your minds eye. Science shows inaccurate Photos have low emotional impact because they’re insufficient memory triggers to re-ignite the Precious Memory you’re looking to preserve. So why does your camera see the more limited spectrum and produce the image on the left, when your human eyes see – and Perfectly Clear creates – the spectrum and image on the right?

Simply looking at the image and their two spectrums tells you digital cameras are NOT reproducing colors the way the human eye sees them. This is a vitally important observation because we know colors are like an express train into the Precious Memories of the human brain. Science has shown that when you distort color you distort the Precious Memories, which is why Photo Accuracy is so important.

Color is a fundamental part of all Precious Memories we remember

When you and those you’re taking photos for want to re-experience your Precious memories perfectly, then those memories need to be perfectly preserved.

How can a Precious Memory be perfectly preserved if the colors are changed?
We know that the cones of the human eye respond with precision to the frequencies of specific colors. And each color detected by the cone cells of the human eye creates a very specific electrical and chemical response in the brain.

Figure-1-bCIE 1931 Colour matching functions for 2° observer

The image formed and then stored as the original image in the mind’s eye of the human brain is a result of these electrical and chemical responses generating wave response.

When your camera changes the colors of what you see (the original image of what you see and store in your mind’s eye), and when your photo “enhancement” software distorts the colors of your images, then the Precious Memories represented by your photos will be distorted. Your wife’s favorite sweater is no longer the same color. How should we expect her to respond upon seeing the color of her sweater distorted? What if it’s the color of someone’s eyes that are distorted?

purpleflowers

Perfect color – Real Color – means a perfect reproduction of the colors you see and seek to capture in your photos. Perfect color means perfect Precious Memories; therefore, Real Color means perfect preservation of Precious Memories. To reproduce and preserve Precious Memories perfectly, the colors seen when the picture is taken have to be reproduced perfectly in your photos. Only then is your photo reproducing the original image of the event in the mind’s eye and having the maximum emotional impact.

Prove Your Camera’s Limited Spectrum to Yourself

Figure 6We’d be pleased if you’d participate in an experiment with us and point your camera at the screen. What color do you see?

One of two things just happened, either:
– Your camera wrongly rendered the purple woman as blue, or
– Your camera correctly rendered the woman as purple, and wrongly de-saturated the colors so your photos are going to contain less vibrancy than film.

Which outcome you experience is a result of how your camera manufacturer implemented the RGB standard. How do we know this?

All cameras use RGB, and technically that’s a problem for capturing colors accurately

Cameras utilize the RGB color space. In 1931 the RGB color space was defined by the Commission Internationale de l’ Eclairage (“CIE”). The CIE definition included negative numbers in the red channel. This does NOT represent negative light, but it’s a convenient way to represent that there’ll be situations where the color red has to be added to the color being matched, and not to the mixture. Red cone cells do actually have a response to high frequencies [in the blue range]. As surprising as this is, this response had to be included in the RGB definition. So how does a camera manufacturer implement negative numbers? They can’t! So the manufacturer only has two choices:

– Apply a brute force logic to the RGB definition and set the negative numbers to zero. This abbreviates the spectrum in which case the purple in the blue end of the camera’s spectrum remains perfectly blue, and the green/turquoise portion of the spectrum is changed even more significantly (although it won’t be noticed by the novice eye as quickly), or

– Adjust the camera’s RGB color spectrum with differing amounts of de-saturation (adding some amounts of white). This is done in a genuine attempt to approximate the natural fuller spectra, but the de-saturation will always be present. De-saturation reduces the vibrancy of your photos. For further information on samples of the de-saturation required to achieve all the hues of the spectrum, please go to http://www.techmind.org/colour/spectra.html

The Tribeca Discovery

Figure 7 Tribeca Imaging Laboratories discovered the limited spectrum of the camera, which occurs when the camera manufacturer slaves the negative numbers to zero. The discovery happened at Cornell University where they were working to digitally preserve Cornell’s precious art works. Working within a controlled environment, they discovered that despite perfect lighting and access to all varieties of digital cameras, they couldn’t reproduce the actual colors of the art works as seen by the human eye. Tribeca overcame this challenge by designing a rigorous empirical calibration methodology, which is patent-pending.

When this calibration methodology, called Full Spectrum RGB, is encoded in software it automatically re-maps the limited color spectrum from your photo (as recorded by your camera) back into what was seen by the human eye.

This remapping is the rigor required for Real Color.

Full Spectrum RGB delivers you photos with real life vibrancy

Application of Full Spectrum RGB technology reproduces your photos with the vibrant colors you see (original image) at the time you take the picture. This is going to include the many complex greens and even those high frequency difficult hues such as the deep indigo, violets and purples.

lightreflections

So What’s the Essence of Full Spectrum RGB?

Full Spectrum RGB is a digital color model based upon the full color spectrum of natural light.

Full Spectrum RGB uses digital light to simulate the dynamic nature and depth of the component colors of daylight.

How are the colors of daylight different than the colors of digital?

You use your digital camera to record light and your monitor displays images using light. But the light you record with your camera and the light created by your monitor are different. They have different component colors, and the component colors of the two systems interact differently. Daylight contains all the visible wavelengths of illumination. The human eye perceives discrete wavelengths as colors. We commonly classify the component colors of the visible spectrum as red, orange, yellow, green, blue, indigo and violet. Digital light simulates white light with only three individual wavelengths of color: red, green and blue (which is why the digital color model is referred to as RGB). The differences between daylight and digital light can be seen in the purity of their respective component colors.

How Does Full Spectrum RGB Work?

Full Spectrum RGB imparts the behavior of the component colors of daylight to the colors of RGB, modulating them relative to their intensity so that they are deeper, richer, and more life-like. It does this by automatically re-mapping an empirically derived full spectrum onto your camera’s abbreviated spectrum and then uses the Full Spectrum RGB to re-map the colors of your photos congruently. The technology is based upon an empirical analysis and synthesis of the limited RGB spectrum of 17 major camera brands. A specific mapping for your camera would be even more accurate.

Perfectly Clear incorporates Full Spectrum RGB for real color fidelity

Perfectly Clear incorporates Full Spectrum RGB to give your photos the benefit of the fidelity of all the colors that were present at the time of capture, an imperative to accurately reproduce the colors of your photos. Real Color.

lakersjersey

But what if the camera manufacturer didn’t slave the negative numbers to zero?

Of course, it’s possible your camera manufacturer chose to not slave the negative numbers to zero, in which case they will have added white to the spectrum to simulate a full spectrum. This is overviewed in the discussion of this camera limitation. The result is that the photos from such camera lack crisp vibrancy. Another reason photo colors can lack vibrancy is caused by another camera limitation where the camera tries to overcome an exposure problem. In either of these cases the solution wouldn’t be Full Spectrum RGB, but rather Perfectly Clear’s Vibrancy correction.

Delivering you accurate photos with optimum exposure, detail preservation and correct colors… Real Color, is absolutely necessary to reproduce your photos to match the original images stored in the mind’s eyes of the photographer and participants.

Accurate Photos are Superior Photos that preserve Precious Memories better and have the greatest emotional impact on the viewer.