Canon kabushiki kaisha (20240163440). 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 20240163440 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.
  • Quantization unit quantizes transformation coefficients in a sub-block 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 ratios
  • Enhanced image quality preservation

Potential Commercial Applications

This technology can be utilized in:

  • Media streaming services
  • Video surveillance systems

Possible Prior Art

One example of prior art in this field is the use of Discrete Cosine Transform (DCT) in image compression algorithms.

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 to evaluate the compression efficiency of this technology.

What impact does the size of the second quantization matrix have on the encoding process?

The article does not delve into the specific impact of varying sizes of the second quantization matrix on the encoding process.


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.

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