With a single touch of the smartphone screen, anyone can capture an unforgettable moment at any time. But it’s another story entirely whether the photos capture an entirely real one. Inconsistencies between smartphone images and what we see with our own eyes are common, which can lead to a lot of bloodshed and disagreements between buyers and sellers. The reason is unrealistic and overemphasized colors.
Let’s ask ourselves, why do paints cause so many problems for smartphones and even some of the more expensive cameras? It is our fault. Our eyes are too sophisticated for technology that wants to simulate human vision. So, there are quite a few challenges with the camera hardware and software.
Challenge 1: It’s hard to replicate the brain’s (and memory) response to color
Color is a psychological response to wavelengths of light, the fruit of the evolution of the evolution of the human eye and brain, and the perception of the world based on life experiences. It is difficult to capture and measure because we do not know the answer to how the memory-based brain processes sensory information from the environment. That’s what science is all about, the study of how different colors are classified.
In fact, the so-called true colors are just scientific terms that are not necessarily true in real life. It is also difficult to ensure correct colors only with the help of traditional image processing algorithms.
Most cameras and smartphones are involved in the process of processing data using sensors. Auto White Balance (AWB) is designed to mimic color consistency. Color Correction Matrix (CCM) eliminates color discrepancies and achieves the most natural image possible. The LUT3D table converts the color input values into the desired output values. Matrix CC has two main functions, color correction and color gamut extension. This all helps keep the colors clean and true or as the eyes see it, but it depends on the algorithms how much they can be modified.
In addition, the image processing process is subject to color distortion, in which the response curve or the relationship between the input and the output on the image sensor is different from that of the human eye. Raw sensor data and human eye data share a non-linear relationship, which makes it impossible to achieve true color reproduction with linear AWB and CCM transformations.
The solution to the problem is the case of Lutar. If the device reaches it, the response curve of the photographic device and the human eye can be linearly transformed. This device is a colorimeter. It is responsible for colorimetry and eliminates scaling, which explains why the color of the human eye is different.
The second challenge: it is difficult to determine the source of the light
An object’s color is determined by light and surface reflection. The human eye perceives only the color of the surface, not the light source that the brain ignores. This helps us to perceive colors consistently or achieve color consistency.
In the field of digital photography, it is important to introduce the hypothesis of light source estimation, in which the optical system determines the reflectivity of an object based on the current lighting conditions. Problems arise when the light source cannot be directly detected or seen or when the light is too bright or too dark to judge. This explains the existence of several academic hypotheses, including the gray world hypothesis or the method of adjusting white balance, which assumes that a scene is on average a neutral gray, and applies this principle to RGB color reproduction.
The gray world hypothesis can be easily refuted. The average reflective color of a single color setting will not be black, white, or gray, and is limited by whiteness tuning algorithms based on this premise. In real life, most scenes and objects, such as wood floors or floor and wall tiles, are not made up of absolute black, white, and gray, but are made up of shades of white. Which is quite a challenge to customize the colors.
The third challenge: It is difficult to measure the psychological response of the human eye
When measuring the psychological response of the eye to color perception, the chromatic modulation or the ability of the sense of sight to adapt in whole or in part to changes in lighting must be taken into account to stabilize the chromatic appearance of the object.
For example, if we see white cotton, green leaves, and red tomatoes in a 6000 K (sharp white light) light source, we want the colors to be the same even when the light source is 3000 K (more warm yellow light). When color tuning does not match the human eye, different lighting temperatures affect color saturation and distortion, and color shades are not the same.
The ideal technological process for color tuning must reach the state of Luther, create an accurate appreciation of the light in the surroundings, and have the ability to perfectly adapt the colors. Since there is currently no smartphone camera system on the market to meet all of the above, it indicates the enormous difficulty in achieving true colors.
How do you pick up colors as you see them?
The Huawei P50 Pro smartphone takes mobile photography to a new level with the revolutionary True-Chroma Image Engine, among other things. The phone with a new generation optical sensor allows you to capture colors as seen by human eyes and at the same time supports the P3 color gamut.
The penetrating multispectral sensor simulates the human eye
The main camera array of the Huawei P50 Pro smartphone includes two lenses, a color (RGB) and black and white (monochrome) lens and a multi-spectral sensor.
The light-sensitive cells of the retina are mostly composed of two types of cells; Sticks and cones. The RGB sensor in the main camera has a similar function to cone cells. In addition to capturing light, it is also responsible for capturing colors. The canes are usually active in the dim light of dusk and night and protect black and white vision. The monochrome sensor plays this role in this phone.
The fruit of many years of research conducted by Huawei was the third important component of this series. 10-channel multispectral sensor precisely measures ambient light. With this, Huawei opens a new chapter in color theme design and color modulation. The all-new generation sensor can read almost the entire light spectrum, greatly increasing low-light performance while maintaining consistency. Specifies 50 percent more color spectrum with 20 percent fewer chromatic aberrations for more accurate color reproduction and higher accuracy.
Color processing that simulates a psychological response
During the processing of the algorithm signal, the software algorithms automatically calibrate the colors. The Huawei P50 Pro smartphone introduces a new way to replace the traditional AWB and CC methods, a powerful AI color stability algorithm. Through the analysis of 40,000 photographs and the ability to machine learning, gain a better understanding of how to bring the atmosphere and ambient light color to life based on chromatic modulation, taking into account objects and light sources in a scene.
More extensive color gamut
To admire the colors displayed, Huawei has improved the already excellent color matching process in the P40 Pro smartphone and created an unprecedented solution for ultra-accurate optical error correction and image detail recovery. Therefore, the P50 Pro smartphone adjusts to more than 2,000 colors, rather than optimizing the preferred color combinations in the sRGB color gamut alone. Huawei is proud to redefine color optimization, bringing support for the entire P3 color palette. It not only recognizes small differences between different shades of the same color, but is also able to display them on the screen.
The Huawei P50 Pro has inherited the excellent P series franchise in the field of versatile mobile imaging and has become their most advanced smartphone in the field. The powerful device with dual array camera will allow mobile photography enthusiasts to work at a professional level and capture the surroundings with beautiful colors and full details. It is perfect for anyone who feels the need to create and capture beautiful life moments, but standard smartphone cameras are not enough for them.
Rich device ecosystem
Huawei recently introduced a series of P50 phones, consisting of Huawei P50 Pro and P50 Pocket, in Slovenia. Thus, the phones join the wide range of other Huawei devices we have available to us. The first is the mid-range Huawei Nova 9 and Huawei Nova 8i, followed by the Watch GT 3 smartwatch, the MateView and MateView GT screens, and the upcoming FreeBuds Lipstick, which is also a great fashion accessory.
For more information, visit: Consumer.huawei.com/si