18420651. 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 18420651 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.
- Generation unit generates a second quantization matrix from a first quantization matrix of size N×N.
- Quantization unit quantizes transformation coefficients in a sub-block of size P×Q using the second quantization matrix.
Potential Applications
This technology can be applied in:
- Image and video compression algorithms.
- Digital watermarking techniques.
Problems Solved
This technology helps in:
- Efficiently encoding images with reduced data size.
- Enhancing image quality during compression.
Benefits
The benefits of this technology include:
- Improved image compression efficiency.
- Enhanced image quality preservation.
Potential Commercial Applications
The potential commercial applications of this technology include:
- Integration into image and video editing software.
- Implementation in digital cameras and smartphones for image processing.
Possible Prior Art
One possible prior art in this field is the use of discrete cosine transform (DCT) in image compression algorithms.
What is the impact of this technology on image compression efficiency?
This technology significantly improves image compression efficiency by quantizing transformation coefficients in sub-blocks using a second quantization matrix, leading to reduced data size and better image quality preservation.
How does this technology compare to traditional image encoding methods?
This technology offers a more advanced approach to image encoding by generating a second quantization matrix and quantizing transformation coefficients in sub-blocks, resulting in improved compression efficiency and image quality compared to traditional methods like DCT.
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.
