tencent cloud

Cloud Infinite

Release Notes and Announcements
Release Notes
Announcements
Product Introduction
Product Overview
Product Strengths
Use Cases
Feature Overview
Regions and Domains
Specifications and Limits
Billing
Billing Overview
Billing Mode
Billable Items
Free Tier
Payment Overdue
Viewing Bill Details
FAQs
Getting Started
Registering and Logging In
Bind Bucket
Uploading and Processing File
Downloading and Deleting Images
Unbinding Buckets
Using CI via COS
Features
Image Processing
Media Processing
Content Moderation
AI Content Recognition
File Processing
Smart Voice
File processing
User Guide
Overview
Bucket Management
Smart Toolbox
Job and Workflow
Data Monitoring
Usage statistics
Use Cases
Copyright Protection Solutions
Image Processing Practices
Working with API Authorization Policies
Workflow Practices
API Documentation
API Overview
Structure
Common Request Headers
Common Response Headers
Activate Vast Service
Image Processing
AI-Based Content Recognition
Smart Audio
Media Processing
Content Moderation
Document Processing
File Processing
Job and Workflow
Cloud Virus Detection
Error Codes
Request Signature
SDK Documentation
SDK Overview
Android SDK
iOS SDK
COS Android SDK
C SDK
C++ SDK
.NET(C#) SDK
Go SDK
COS iOS SDK
Java SDK
JavaScript SDK
Node.js SDK
PHP SDK
Python SDK
Mini Program SDK
Personal Information Protection Policy for SDK
Security and Compliance
Permission ‍Management
FAQs
Basic Settings
Document Processing
Media Processing
Content Recognition
Smart Audio
Agreements
Service Level Agreement
Contact Us
Glossary

Image Quality Scoring

PDF
포커스 모드
폰트 크기
마지막 업데이트 시간: 2025-12-11 21:08:11

Product Introduction

Image quality scoring evaluates the visual quality of images across multiple dimensions, simultaneously providing a comprehensive objective clarity score and a subjective aesthetic quality score.
Note:
Image quality scoring is a paid service. For specific pricing details, please refer to Content Recognition pricing.
When using image quality scoring, please first confirm the relevant limitations and Region. For details, see Usage Limitations.



Applicable Scenarios

Evaluation and Guidance for Image Encoding Compression

Lossless compression methods have very limited capabilities. Mainstream image encoding and compression techniques primarily rely on lossy compression, supplemented by lossless compression. On one hand, the selection of each module in the encoding framework and its parameter settings are based on image quality.

Evaluation and Guidance for Image Process Algorithms

Through quality scoring results, we dynamically detect and adjust image quality conditions. For instance, image and video capture systems can automatically adjust parameters based on quality assessment results to obtain optimal-quality image data. In Internet digital services, we can also use assessment models to monitor real-time quality conditions of images uploaded via networks and allocate data stream resources.


Prerequisites

You have enabled the COS service, created a Bucket, and uploaded files to the Bucket. For specific operations, see Bucket files.
You have activated the Cloud Infinite service and bound the Bucket. For specific operations, see Bucket Binding.


Usage

You can use the Cloud Infinite image quality scoring API interface to evaluate images stored in Cloud Object Storage (COS). For details, see Image Quality Scoring API Documentation.

도움말 및 지원

문제 해결에 도움이 되었나요?

피드백