18420637. IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)
Contents
- 1 IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - 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
IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Organization Name
Inventor(s)
IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18420637 titled 'IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation
The image encoding apparatus described in the abstract is designed to generate a second quantization matrix from a first quantization matrix and quantize transformation coefficients in a sub-block using the second quantization matrix.
- The apparatus generates a second quantization matrix from a first quantization matrix of size N×N, where N is a positive integer, and creates a second quantization matrix of size P×Q, where P and Q are positive integers satisfying P<N<Q.
- The quantization unit then uses the second quantization matrix to quantize transformation coefficients in a sub-block of size P×Q.
Potential Applications
This technology can be applied in:
- Image and video compression algorithms
- Digital watermarking techniques
- Signal processing systems
Problems Solved
This technology helps in:
- Efficiently encoding images with reduced data size
- Enhancing image quality during compression
- Optimizing storage and transmission of visual data
Benefits
The benefits of this technology include:
- Improved compression efficiency
- Enhanced image quality preservation
- Reduced storage and bandwidth requirements
Potential Commercial Applications
A potential commercial application of this technology could be in:
- Media streaming services
- Video surveillance systems
- Image editing software
Possible Prior Art
One possible prior art related to this technology is the use of quantization matrices in image and video compression standards like JPEG and MPEG.
What are the specific algorithms used for generating the second quantization matrix in this apparatus?
The specific algorithms used for generating the second quantization matrix in this apparatus are not detailed in the abstract. Further information on the mathematical methods or algorithms employed would provide a deeper understanding of the encoding process.
How does the size of the sub-block affect the efficiency of the quantization process in this apparatus?
The abstract does not specify how the size of the sub-block impacts the efficiency of the quantization process. Exploring the relationship between sub-block size and quantization performance could offer insights into optimizing the encoding process for different types of images.
Original Abstract Submitted
An image encoding apparatus for encoding an image comprises a generation unit configured to generate, from a first quantization matrix having a size of N×N (N is a positive integer), a second quantization matrix having a size of P×Q (P and Q are positive integers which satisfy P<N<Q, and the size of P×Q indicates a size of P in a horizontal direction and a size of Q in a vertical direction), and a quantization unit configured to quantize transformation coefficients in a sub-block having a size corresponding to the size of P×Q using the second quantization matrix.
