Canon kabushiki kaisha (20240163442). IMAGE ENCODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING APPARATUS, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract

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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 20240163442 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, and quantize transformation coefficients in sub-blocks using this second matrix.

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

Potential Applications

This technology can be applied in:

  • Image and video compression
  • Digital watermarking
  • Image recognition systems

Problems Solved

This technology helps in:

  • Efficient image encoding
  • Reduction of data size
  • Improved image quality

Benefits

The benefits of this technology include:

  • Faster image encoding process
  • Enhanced image compression
  • Better image quality preservation

Potential Commercial Applications

This technology can be utilized in:

  • Media streaming services
  • Video surveillance systems
  • Digital photography equipment

Possible Prior Art

One possible prior art in this field is the use of quantization matrices in image compression algorithms, where different matrices are used to reduce the amount of data required to represent an image.

Unanswered Questions

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

This article does not provide a direct comparison with existing methods, so it is unclear how this technology performs in relation to others.

What impact does the size of the quantization matrix have on the final image quality?

The article does not delve into the specific effects of the quantization matrix size on image quality, leaving this aspect unanswered.


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.