Canon kabushiki kaisha (20240163441). IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract

IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM

Organization Name

canon kabushiki kaisha

Inventor(s)

Masato Shima of Tokyo (JP)

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 20240163441 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 encode images using a second quantization matrix generated from a first quantization matrix. Here are some key points to explain this innovation:

• Generation unit creates a second quantization matrix from a first quantization matrix.
• Quantization unit quantizes transformation coefficients in a sub-block using the second quantization matrix.

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1. 1. 1. Potential Applications of this Technology

1. Image and video compression algorithms. 2. Digital watermarking techniques.

1. 1. 1. Problems Solved by this Technology

1. Efficient encoding of images with reduced storage requirements. 2. Improved image quality preservation during compression.

1. 1. 1. Benefits of this Technology

1. Enhanced image compression capabilities. 2. Reduced file sizes for faster transmission and storage.

1. 1. 1. Potential Commercial Applications of this Technology
         1. Optimizing Image Compression for Faster Loading Websites

1. 1. 1. Possible Prior Art

There are existing image encoding techniques that involve quantization matrices for compression purposes. One example is the Discrete Cosine Transform (DCT) used in JPEG compression.

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1. 1. 1. Unanswered Questions

1. 1. 1. 1. How does this technology compare to existing image encoding methods in terms of compression efficiency?

This article does not provide a direct comparison with other image encoding techniques in terms of compression efficiency.

1. 1. 1. 1. What impact could this innovation have on the speed of image encoding and decoding processes?

The article does not address the potential impact of this technology on the speed of image encoding and decoding processes.

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.