18680919. IMAGE ENCODING APPARATUS, IMAGE DECODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)
IMAGE ENCODING APPARATUS, IMAGE DECODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
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IMAGE ENCODING APPARATUS, IMAGE DECODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18680919 titled 'IMAGE ENCODING APPARATUS, IMAGE DECODING APPARATUS, IMAGE ENCODING METHOD, IMAGE DECODING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
Simplified Explanation: The patent application describes a method of dividing an image into rectangular regions and slices for processing in raster order.
- The image is divided into rectangular regions, each containing at least one block row.
- Rectangular slices are specified based on first and second information for processing the regions in a specific order.
- The number of blocks in each region determines the start position of coded data in the slice.
- A bitstream is generated with the necessary information and coded data multiplexed.
Key Features and Innovation:
- Division of image into rectangular regions and slices for efficient processing.
- Specific order of processing based on first and second information.
- Determination of start position of coded data based on number of blocks in each region.
- Multiplexing of information and coded data into a bitstream for transmission.
Potential Applications: This technology can be applied in image processing, video compression, and data transmission systems.
Problems Solved:
- Efficient processing of images by dividing into manageable regions.
- Streamlining the order of processing for improved performance.
- Simplifying the coding process by determining start positions based on block numbers.
Benefits:
- Faster image processing and data transmission.
- Enhanced compression efficiency for videos.
- Improved overall performance of image processing systems.
Commercial Applications: This technology can be utilized in digital cameras, video streaming services, and medical imaging devices for faster and more efficient data processing.
Prior Art: Prior research in image processing and video compression techniques may provide insights into similar methods of dividing and processing images.
Frequently Updated Research: Stay updated on advancements in image processing algorithms and video compression techniques to enhance the efficiency of this technology.
Questions about Image Processing: 1. How does this technology improve the efficiency of image processing? 2. What are the potential applications of dividing images into rectangular regions and slices for processing?
Original Abstract Submitted
An image is divided into rectangular regions each including at least one block row, and the image is divided into rectangular slices or slices to be processed in raster order. In a case where the image is divided into the rectangular slices, based on first information for specifying a rectangular region to be processed first and second information for specifying a rectangular region to be processed last, the rectangular regions in the rectangular slice is specified. Based on the number of blocks in a vertical direction in each of the specified rectangular regions, the number of pieces of information for specifying a start position of coded data of the block row in the rectangular slice is specified. A bitstream in which at least the pieces of information, the first and second information, and the coded data are multiplexed is generated.
