17934141. SYSTEMS AND METHODS OF VIDEO DECODING WITH DYNAMIC NOISE RECONSTRUCTION simplified abstract (QUALCOMM Incorporated)
Contents
- 1 SYSTEMS AND METHODS OF VIDEO DECODING WITH DYNAMIC NOISE RECONSTRUCTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS OF VIDEO DECODING WITH DYNAMIC NOISE RECONSTRUCTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SYSTEMS AND METHODS OF VIDEO DECODING WITH DYNAMIC NOISE RECONSTRUCTION
Organization Name
Inventor(s)
Gopi Madhan Dabbadi of Mahadevapura (IN)
Rosali Patro of Berhampur (IN)
Shengqi Yang of Carlsbad CA (US)
Sandeep Nellikatte Srivatsa of Bangalore (IN)
Ashish Mishra of Bhubaneswar (IN)
SYSTEMS AND METHODS OF VIDEO DECODING WITH DYNAMIC NOISE RECONSTRUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17934141 titled 'SYSTEMS AND METHODS OF VIDEO DECODING WITH DYNAMIC NOISE RECONSTRUCTION
Simplified Explanation
The abstract describes a system and method for decoding video data by retrieving noise pixel data from on-chip memory and applying it to reconstructed video pixels to generate output video pixels.
- Decoder system retrieves noise pixel data from on-chip memory.
- Applies noise data to reconstructed video pixels to generate output video pixels.
- Noise data is determined based on the noise pixel data.
Potential Applications
This technology could be applied in video processing, image enhancement, and video compression systems.
Problems Solved
1. Improved video quality by reducing noise in reconstructed video pixels. 2. Efficient utilization of on-chip memory for storing noise pixel data.
Benefits
1. Enhanced video quality with reduced noise. 2. Optimized use of memory resources. 3. Improved overall performance of video decoding systems.
Potential Commercial Applications
Optimized Video Processing: Enhancing video quality in real-time applications. Image Enhancement Software: Improving image quality by reducing noise. Video Compression Systems: Enhancing compression efficiency by reducing noise in video data.
Possible Prior Art
One possible prior art could be the use of noise reduction algorithms in video processing systems to improve video quality.
Unanswered Questions
How does this technology compare to existing noise reduction techniques in video processing?
This article does not provide a direct comparison with other noise reduction techniques in video processing.
What impact does the application of noise data have on the overall performance of the video decoding system?
The article does not address the specific impact of applying noise data on the performance of the video decoding system.
Original Abstract Submitted
Systems and methods for decoding are described. A decoder system is configured to retrieve, from the grain array stored within the on-chip memory, noise pixel data associated with at least one reconstructed video pixel. The decoder system is configured to apply noise data to the at least one reconstructed video pixel to generate at least one output video pixel. The noise data is determined based on the noise pixel data.
