18680848. 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 18680848 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.
- **Key Features and Innovation:**
- Dividing the image into rectangular regions with specified processing order. - Generating a bitstream with multiplexed information for processing blocks in the image. - Specifying start positions of coded data based on the number of blocks in each region.
- **Potential Applications:**
- Image processing applications. - Video compression and encoding technologies. - Data transmission and storage systems.
- **Problems Solved:**
- Efficient processing of image data in a specified order. - Improved compression and encoding techniques. - Enhanced data transmission and storage capabilities.
- **Benefits:**
- Faster image processing. - Higher compression ratios. - Improved data transmission efficiency.
- **Commercial Applications:**
- Video streaming services. - Digital imaging software. - Data compression technologies for various industries.
- **Prior Art:**
Research on image processing algorithms and compression techniques in the field of multimedia technology can provide insights into similar methods.
- **Frequently Updated Research:**
Ongoing advancements in image processing algorithms and data compression techniques may impact the development of this technology.
Questions about image processing technology: 1. How does this method improve image processing efficiency compared to traditional techniques? 2. What are the potential limitations of using this approach in real-time applications?
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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.
