AI-assisted Image Enhancement | Guide Sensmart Hyper-Light Algorithm Opens up a New Image Quality Experience

Thermal Imaging Telescope: Intelligent Algorithms Upgrade Visual Experience

The thermal imaging telescope is an instrument that uses infrared technology to achieve night observation. It can shoot and observe animal activities at a distance around the clock without disturbing animals. With its non-invasive and all-weather monitoring capabilities, it has become an important tool for animal monitoring, search and rescue. In outdoor and emergency rescue scenarios, thermal imaging telescopes have become indispensable equipment at night and in low-visibility environments.

Guide Sensmart Hyper-Light Algorithm

With the hyper-light algorithm, Guide Sensmart has achieved comprehensive breakthroughs in four core dimensions: clarity improvement, detail processing, noise suppression, and contrast optimization capabilities,providing users with an unparalleled observation and aiming experience.

1. Superior Detail Resolution and Clarity

Detail resolution and clarity are the core indicators of infrared scopes, which directly affect a user's observation experience. Based on traditional algorithms,AI real-time super-resolution algorithm is integrated to achieve super detail resolution and clarity, making it easier to distinguish the tiny details of a target. Moreover, the Hyper-light algorithm combines with an adaptive detail enhancement algorithm to enhance target details and greatly improve the observability of low-temperature weak texture targets.

Clarity Comparison Before and After Hyper-light Algorithm Enabled

Especially in the long-distance electronic amplification process, lossless amplification can be achieved, which is suitable for long-distance reconnaissance and ensures that users do not miss any key details.

Comparison Before and After Hyper-light Algorithm Enabled at 4x Magnification

2. Noise Suppression and Image Stability Improvement

Noise is a key factor affecting the quality of infrared imaging. Especially in low temperature differences or high humidity environments, the noise of traditional infrared equipment will increase greatly, affecting the observation effect. Traditional noise reduction algorithms often lead to the loss of image details,while the Hyper-light algorithm combines traditional ISP-pipeline with AI noise reduction, which can effectively remove regular noise and random noise without losing image details, greatly improving the stability of images.

Comparison Before and After Hyper-light Algorithm Enabled in Rain

3. Contrast Optimization to Enhance Target Identification Capabilities

The contrast determines the distinction between targets and backgrounds in infrared images. High contrast can help users locate targets faster.The Hyper-light algorithm combines global contrast and local contrast enhancement algorithms to improve local contrast,highlighting layers and details of local small targets, while adaptively adjusting the contrast of scenes (jungle/city/desert, etc.), greatly improving the contrast in jungle low temperature difference environments,and helping users find and locate the target.

Contrast Comparison Before and After Hyper-light Algorithm Enabled

So far, the Guide Sensmart Hyper-light Algorithm has been applied to many thermal imaging telescope models, realizing the iteration of infrared image quality technology, providing richer details and visual experience, and better solving the pain points in actual use. In the future, Guide Sensmart will continue to explore breakthroughs in the field of image intelligent algorithms and understand better image experience from practice, satisfying users' more pursuit for infrared images.