Camera Bit Rate Control for Shake-Induced Image Quality
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Solution Overview
Problem
Digital cameras allocate high bit rates to images captured during camera shake, leading to unnecessary deterioration in image quality and potential codec noise, as the bit rate intended for improving image quality is reduced or delayed.
Innovation Solution
A camera system that includes an image sensor, an encoding unit, and a control unit that dynamically adjusts the bit rate based on camera shake, reducing the bit rate during camera shake and allocating a higher bit rate when necessary for improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high bit rate is allocated to images captured during camera shake, then the encoding can handle the motion, but the image quality deteriorates due to unnecessary bit rate consumption and codec noise
Solution Approach 1:
The patent changes the bit rate parameter dynamically based on camera shake detection. When camera shake is detected, the system reduces the bit rate allocated to encode those specific frames, while maintaining normal or higher bit rates for stable frames. This parameter adjustment resolves the contradiction by adapting the encoding resources to the actual content quality needs.
Solution Approach 2:
The system implements dynamic bit rate allocation that responds to real-time camera shake conditions. Instead of using a fixed high bit rate for all motion-containing frames, the system dynamically adjusts the bit rate based on whether the motion is due to camera shake or actual subject motion, thereby optimizing image quality while maintaining encoding reliability.
2Speed
If a high bit rate is allocated to images captured during camera shake, then motion encoding is maintained, but the bit rate for images requiring quality improvement is reduced or delayed
Solution Approach 1:
The system changes the bit rate parameter in response to detected camera shake conditions. By reducing the bit rate for shake-affected frames, the system frees up encoding resources that can be rapidly allocated to subsequent stable frames that require higher quality, thus improving both allocation speed and overall image quality.
Solution Approach 2:
The system uses feedback from camera shake detection to adjust bit rate allocation. The detection mechanism provides real-time information about frame stability, and this feedback loop enables the encoder to dynamically reallocate bit rates, ensuring that high-quality encoding is applied to frames that actually benefit from it while maintaining faster overall processing.
3Reliability
If a high bit rate is allocated to all images with motion, then motion encoding is ensured, but codec noise is generated in images where it is unnecessary
Solution Approach 1:
The patent applies local quality adjustment by treating frames differently based on their specific characteristics. Frames affected by camera shake are encoded with lower bit rates since they inherently contain degradation, while stable frames receive appropriate bit rates. This localized approach prevents codec noise in shake-affected frames while maintaining reliable motion encoding where necessary.
Solution Approach 2:
The system changes the encoding parameter (bit rate) based on the specific condition of each frame. By detecting camera shake and adjusting the bit rate parameter accordingly, the system avoids generating codec noise in frames where high bit rate would be wasteful, while maintaining reliable motion encoding in frames where it is actually needed.
Data Source
AI summary
The present technology relates to a camera, a control method, and a program capable of improving image quality. An image sensor captures an image, and an encoding unit encodes the image. A control unit controls a bit rate to be allocated to encode the image in response to a shake of the camera. The present technology is applicable to, for example, a camera that captures and encodes an image.