Surveillance Image Bitrate Adjustment via Contrast Subtraction
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Solution Overview
Problem
Surveillance cameras face challenges in efficiently managing bitrate for image transmission without compromising image quality, as the increasing number of cameras strains network resources and existing technologies fail to optimize bitrate adjustment effectively.
Innovation Solution
A method and apparatus that adjust the bitrate of images by determining a maximum contrast subtraction rate based on image brightness and variance, reducing contrast accordingly to match a target bitrate, and further adjusting the quantization parameter to ensure optimal image quality and bitrate alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the bitrate of images from surveillance cameras is reduced to manage network resources, then network resource efficiency is improved, but image quality deteriorates
Solution Approach 1:
The patent changes image parameters (brightness, contrast, saturation) to adjust the visual quality of images while maintaining acceptable perception. By modifying these parameters, the system can reduce bitrate requirements without causing significant image quality deterioration, thus resolving the contradiction between network resource efficiency and image quality.
Solution Approach 2:
The system dynamically adjusts image parameters based on real-time conditions such as scene complexity, motion detection, and current bitrate requirements. This dynamic adaptation allows the system to optimize the balance between network resource usage and image quality, reducing bitrate when resources are constrained while maintaining quality when possible.
2Area of stationary object
If the number of surveillance cameras is increased to improve monitoring coverage, then monitoring coverage is improved, but network resource strain increases
Solution Approach 1:
By adjusting image parameters such as brightness, contrast, and saturation, the system reduces the bitrate required for each camera feed. This allows more cameras to be connected to the network without proportionally increasing network resource strain, thus enabling expanded monitoring coverage while managing network capacity.
3Loss of energy
If contrast of the image is reduced to adjust bitrate, then transmission bitrate is reduced, but image quality deteriorates
Solution Approach 1:
Instead of simply reducing contrast, the system performs coordinated adjustments of multiple parameters including brightness, contrast, and saturation. This multi-parameter approach allows for bitrate reduction while maintaining better image quality perception compared to single-parameter adjustment, as the combined parameter changes can compensate for individual parameter reductions.
Data Source
AI summary
A method of adjusting an output bitrate of an image by contrast adjustment includes: determining a maximum subtraction rate of a contrast of the image in response to a brightness of the image; comparing a current output bitrate of the image with a target bitrate while reducing the contrast of the image up to the determined maximum subtraction rate of the contrast of the image; and determining the contrast of the image to be the reduced contrast in response to determining that the reduced contrast of the image corresponds to the target bitrate.