Color correction algorithm
Precise color rendering for increased user satisfaction
In the context of growing digitalization and active use of online stores, buyers increasingly make purchases online. However, one of the key factors influencing the quality of online shopping is the accuracy of the display of goods on the device screen. This is especially important for categories such as clothing, cosmetics, furniture and equipment, where the color of the product plays a key role in the purchase decision.
The color correction algorithm developed by our company is an innovative solution that helps accurately convey the color of the product on the user's screen, reducing distortions caused by the features of different devices . This approach not only reduces the number of returns, but also significantly increases customer loyalty and satisfaction. In this article, we will talk in detail about the concept, application and benefits of the color correction algorithm, as well as which business niches can benefit most from it.
Technologies
Why Accurate Color Reproduction Is Important
Visual perception of a product is one of the most important factors when shopping online, especially when it comes to categories such as:
- Cosmetics : The shade of lipstick or foundation is critical to the buyer.
- Clothing and footwear : The color of clothing often influences the choice of style, and even small distortions can disappoint the buyer.
- Furniture and interior items : buyers want to be sure that a sofa or wardrobe will fit harmoniously into their interior.
- Technology and cars : Body color can be an important factor for buyers, especially when it comes to customized products or unique color schemes.
The difficulty is that each user may have different devices: from phones to tablets and computers with screens of different sizes, clarity, brightness and contrast. This creates a large error in the display of images, due to which the color of the product seen on the screen may often not correspond to the real color.
Challenges related to color rendering on different devices
When product photos are uploaded to an online store, they may look different on each device. This happens for the following reasons:
- Screen differences : Brightness, contrast and color settings may vary significantly between devices, resulting in distorted images.
- Lighting conditions : Users may view images in different lighting conditions, such as outdoors on a bright sunny day or indoors with dim lighting. These conditions also affect how colors are perceived.
- Lack of screen calibration : Most users do not have their screens professionally calibrated, and their devices tend to display colors that deviate from the actual spectrum.
These factors cause cases where the color of the product that the user saw on the screen does not match the color that he receives after purchase. This leads to an increase in returns and customer dissatisfaction, which directly affects the store's reputation.
Concept of color correction algorithm
Our color correction algorithm was developed taking into account the need for precise color rendering, bringing the image on the user's screen closer to the original image of the product that is uploaded to the online store. The main principle of the algorithm is to take into account the parameters of the screen of a specific user's device and automatically adjust the image display.
The algorithm performs the following tasks:
- Analysis of screen parameters by the user : Basic settings for color rendering, brightness and contrast of the screen are determined.
- Calibration is performed using a reference image : The user is asked to evaluate the calibration image displayed on the screen and calibrate his device to the reference parameters based on the perception of the calibration image.
- Dynamic image color correction : The algorithm automatically analyzes color display errors and corrects the image so that it matches the original.
How does the color correction algorithm work?
Step 1: Collecting Screen Parameters Data
At the first stage, the algorithm receives data on the user's screen parameters (brightness, contrast, color profile). This data helps to estimate what adjustments need to be made to bring the displayed color closer to the original.
Step 2: Calibrate the screen
To fine-tune color rendering, the user is asked to evaluate the reference calibration image displayed on the screen.
The user can adjust the screen parameters (brightness, contrast, color tone) to bring the display of this image closer to the original memorable colors of iconic natural objects.
Step 3: Correcting the image display
The algorithm, using the received data on screen settings, automatically adjusts the display of goods, adjusting color shades and brightness of images based on the parameters of a specific device. This helps the user see the most accurate display of colors.
Benefits of color correction algorithm for business
Reduction in returns
One of the main reasons for product returns in online stores is color mismatch. By implementing a color correction algorithm, companies can significantly reduce the number of returns, as users will be more confident that the color they see on the screen matches the actual product.
Improving customer satisfaction
High-quality color rendering ensures accurate perception of the product, which increases trust in the brand. When customers are confident that the product will meet their expectations, they become more loyal and inclined to repeat purchases.
Advantage over competitors
Online stores that implement color correction technology offer users a more accurate and convenient shopping experience, which gives them a competitive advantage and improves brand perception in the market.
Examples of niches and businesses for which the color correction algorithm is useful
- Cosmetics : Accuracy of shades of lipstick, eyeshadow, foundation is a key factor influencing the purchase. The algorithm will help accurately convey shades, preventing customer disappointment.
- Clothing and footwear : Fabric color and texture are important to buyers, especially for online shopping where there is no opportunity to see the product in person.
- Furniture and interior : The color of furniture or textiles should match the interior, and accurate color rendering reduces the risk of mismatch.
- Cars and technology : When ordering customized products or choosing technology (for example, smartphones in different colors), buyers expect the color of the product to exactly match what they see on the screen.
- Hair Care & Beauty Salons : Hair coloring cosmetic products require precise color matching to avoid customer dissatisfaction.
How to configure the algorithm on the user's device
For the algorithm to work correctly, the user must go through the device calibration process:
- Selecting a Calibration Image : The user selects a reference image to be calibrated.
- Adjusting screen parameters : The user adjusts the brightness and contrast so that the image matches the standard as closely as possible.
- Activating the color correction algorithm : Once configured, the algorithm automatically corrects all product images to accurately display color.
Conclusion
The color correction algorithm is an innovative solution that helps online stores minimize returns related to color mismatch and increase customer satisfaction. Its implementation opens up new opportunities for stores, improving user experience and creating a competitive advantage.
This algorithm is especially useful for companies involved in cosmetics, clothing, furniture and equipment, as color accuracy is becoming a key factor in their niches. As a result, buyers receive reliable information about the product, which reduces the risk of erroneous purchases and increases brand loyalty.
In a rapidly changing market and active transition to the online space, such solutions play an important role in helping businesses adapt to customer needs and maintain high quality of service.