How to adjust color balance: Hot topics and practical tips on the Internet in the past 10 days
Recently, color balance adjustment has become a hot topic in the fields of photography, design, and video editing. Whether it is sharing tutorials on social media or technical discussions in professional forums, precise control of color balance is always the focus of creators. This article will combine the hot content on the Internet in the past 10 days, structurally analyze the color balance adjustment method, and provide practical tool recommendations.
1. Hot topics related to color balance in the past 10 days

| Topic classification | heat index | Main platform |
|---|---|---|
| Color grading skills for mobile photography | ★★★★☆ | Xiaohongshu/Station B |
| Comparison of PS/LR color balance tools | ★★★☆☆ | Zhihu/professional forum |
| Sharing of film-level color grading parameters | ★★★★★ | Douyin/YouTube |
| AI automatic color correction tool evaluation | ★★★☆☆ | Technology media |
2. Color balance core adjustment steps
1.Cognition of basic principles: Color balance is to correct color casts or create specific visual effects by adjusting the proportions of the three primary colors of red, green, and blue. Popular tutorials recently emphasize that "white balance calibration" needs to take priority over creative color correction.
2.Tool selection suggestions:
| Software/Equipment | Applicable scenarios | Popular versions |
|---|---|---|
| Adobe Lightroom | Photography post-production | Classic CC 2023 |
| DaVinci Resolve | Video color grading | 18.5 |
| Snapseed | Mobile photo retouching | 2.22 |
3.Specific operating procedures:
•step one: Analyze histogram to confirm color distribution deviation
•Step 2: Use the color wheel tool to adjust complementary colors (such as reducing cyan to increase red)
•Step 3: Fine-tune by channel to maintain the coordination of midtones/highlights/shadows
•Step 4: Refer to the recently popular "film texture" parameters (add cyan to shadows, add orange to highlights)
3. New trends and precautions in 2023
1.AI assisted color grading: For example, Luminar Neo’s AI color matching function has become a hot topic of discussion, which can automatically analyze the color composition of reference images.
2.Device collaboration issues: Please note when creating on multiple platforms:
| display device | Color gamut standard | Calibration recommendations |
|---|---|---|
| Mobile phone OLED screen | DCI-P3 | Brightness>200nit |
| Professional monitor | Adobe RGB | ΔE<2 |
3.A Guide to Avoiding Pitfalls: Common problems reported by recent users include: over-reliance on presets leading to color fragmentation, color distortion when HDR content is converted to SDR, etc.
4. Practical case demonstration
Take the recent popular "retro Hong Kong style" color palette on Douyin as an example:
•shadow: Cyan +15, Magenta -5
•mid tone: Red +8, Blue -3
•Highlights: Yellow +10, Green -2
•overall tendency: Color temperature 5200K, hue +7
By structurally decomposing the adjustment logic of color balance and combining it with current fashion trends, creators can achieve professional-level color performance more efficiently. It is recommended to regularly pay attention to the parameter package updates of professional communities such as Colorgrading Central to maintain sensitivity to industry trends.
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