18475464. IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREFOR simplified abstract (BROTHER KOGYO KABUSHIKI KAISHA)
Contents
- 1 IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREFOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREFOR
Organization Name
BROTHER KOGYO KABUSHIKI KAISHA
Inventor(s)
IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18475464 titled 'IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREFOR
Simplified Explanation
The patent application describes an image processing device that applies a halftone process to input image data to generate output image data representing a dot formation state for each pixel. The halftone process includes selecting a dot formation state for a pixel of interest from Q+1 dot states, where Q is an integer of 2 or more, including non-dot and with-dot states. The selection process involves determining Q threshold values associated with the with-dot states based on input gradation values and reference gradation values.
- Image processing device implementing halftone process
- Selecting dot formation state for each pixel based on input gradation values
- Q+1 dot states including non-dot and with-dot states
- Determining Q threshold values for with-dot states using input and reference gradation values
Potential Applications
The technology described in this patent application could be applied in various industries such as printing, digital imaging, and graphic design for creating high-quality halftone images.
Problems Solved
This technology solves the problem of accurately representing gradation values in halftone images, ensuring a more precise and visually appealing output.
Benefits
The benefits of this technology include improved image quality, better representation of gradation values, and enhanced visual appeal in printed or digital images.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced image processing software for professional photographers, graphic designers, and printing companies.
Possible Prior Art
Prior art in this field may include existing image processing algorithms and halftoning techniques used in digital printing and graphic design software.
What is the impact of this technology on the printing industry?
This technology could revolutionize the printing industry by allowing for more accurate and visually appealing halftone images, leading to higher quality printed materials and improved customer satisfaction.
How does this technology compare to existing halftoning methods?
This technology offers a more sophisticated approach to halftoning by incorporating multiple parameters and reference gradation values to determine dot formation states, resulting in more precise and realistic images compared to traditional methods.
Original Abstract Submitted
An image processing device obtains input image data representing an input gradation value for each of multiple pixels, and generates output image data representing a dot formation state for each of the multiple pixels by executing a halftone process with respect to the input image data. The halftone process includes a state selecting process selecting, from among Q+1 dot states, the dot formation state of a pixel of interest among the multiple pixels, the Q being an integer of 2 or more. The Q+1 dot states include a non-dot state Q with-dot states. The state selecting process includes a threshold determining process of determining Q threshold values to be associated with the Q with-dot states. The threshold determining process determines the Q threshold values using multiple parameters including the input gradation values of the pixel of interest and Q reference gradation values to be associated with the Q with-dot states.
