Real-Time Image Enhancement for Network-Degraded Video Frames

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Solution Overview

Problem

Video call quality is compromised due to transmission loss, compression, unstable networks, and ambient conditions, leading to poor image quality and a suboptimal user experience.

Innovation Solution

An electronic device enhances image quality by monitoring network parameters and ambient conditions to identify visual degradation, applying object enhancement and ambient light merging, and deblurring techniques to improve image quality in real-time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If image frames are transmitted over a network with weak or fluctuating signals, then transmission coverage is improved, but image quality deteriorates due to pixelation and distortion

Engineering Contradiction:

Improvenetwork coverage areaVSAvoidimage quality

Core Design Contradiction:

Area of stationary objectVSManufacturing precision

Solution Approach 1:

The system performs preliminary analysis of network parameters and image frame quality before full transmission/display. By monitoring packet loss rates, bit rates, and frame rates in advance, the system can pre-determine enhancement operations needed, allowing image quality restoration even when received over weak network signals

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces an intermediary processing layer between network reception and display. This intermediary analyzes visual degradation types (pixelation, blocking, motion blurring) and applies corresponding enhancement operations, acting as a mediator that transforms degraded network images into high-quality display images

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of energy

If transmission compression is applied to reduce data size, then network bandwidth usage is improved, but image quality deteriorates due to loss of useful information

Engineering Contradiction:

Improvenetwork bandwidth consumptionVSAvoiduseful information in image frames

Core Design Contradiction:

Loss of energyVSLoss of information

Solution Approach 1:

The system converts the harm caused by compression artifacts into benefit by specifically detecting and enhancing compressed image regions. By identifying compression-induced degradations (blocking, pixelation) and applying targeted enhancement operations, the system recovers useful information that was lost during compression

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The system implements feedback by analyzing received image frames for visual degradation and using this information to dynamically adjust enhancement operations. The monitoring of image frame parameters feeds back into the enhancement process, allowing continuous optimization of image quality despite ongoing compression

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If network transmission is performed under unstable conditions, then communication availability is improved, but image quality deteriorates due to flickering and jerkiness

Engineering Contradiction:

Improvenetwork communication availabilityVSAvoidimage frame stability

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system applies dynamic enhancement operations that adapt to real-time network conditions. By continuously monitoring network parameters and adjusting enhancement intensity and type accordingly, the system maintains image stability even when network conditions fluctuate, preventing flickering and jerkiness

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes enhancement parameters based on detected visual degradation and network conditions. By adjusting enhancement strength, operation type, and processing intensity according to real-time conditions, the system maintains stable image quality across varying network availability

Inventive Principle:

Principle #35Parameter changes

4Adaptability or versatility

If ambient light conditions are poor or frequently changing, then environmental adaptability is improved, but image quality deteriorates due to insufficient lighting and color distortion

Engineering Contradiction:

Improveambient environment adaptabilityVSAvoidimage color and brightness quality

Core Design Contradiction:

Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system performs preliminary analysis of ambient light conditions and image frame lighting quality before enhancement. By detecting insufficient lighting and color distortion in advance, the system can pre-apply appropriate lighting correction and color balance operations, maintaining image quality across varying ambient conditions

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12488443B2Method and electronic device for enhancing image quality

Publication Date: 2025.12.02 SAMSUNG ELECTRONICS CO LTD

AI summary

A method for enhancing image quality using an electronic device is provided. The method includes receiving, by the electronic device, an image frame from a network, monitoring, by the electronic device, a network parameter of the network, determining, by the electronic device, a context of the electronic device, identifying, by the electronic device, a visual degradation in the image frame based on the monitored network parameter and the context of the electronic device, and modifying, by the electronic device, a visual quality factor of the image frame based on the visual degradation in the image frame for enhancing the image quality.