Alten has filed a patent for a shadow elimination method and apparatus for text images. The method involves converting the image to grayscale, determining segmentation thresholds, enhancing the background, and performing fusion processing to eliminate shadows. This innovation aims to improve image quality on electronic devices. GlobalData’s report on Alten gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Alten, was a key innovation area identified from patents. Alten's grant share as of January 2024 was 49%. Grant share is based on the ratio of number of grants to total number of patents.

Shadow elimination method for text images

Source: United States Patent and Trademark Office (USPTO). Credit: Alten SA

A patent application (Publication Number: US20230386002A1) describes a method for eliminating shadows from text images. The method involves converting the text image into a grayscale image, determining background and character segmentation thresholds within the shadow area, enhancing the background, and fusing the shadow and non-shadow areas to create a shadow-free text image. The process includes steps such as histogram statistics, convex height sequencing, and mask representation determination. Additionally, the method includes screening out text images based on shadow area information before processing them, ensuring efficient shadow removal.

Furthermore, the patent application includes details on the apparatus for implementing the shadow elimination method. The apparatus consists of units for grayscale image conversion, segmentation threshold determination, mask representation determination, background enhancement, and area fusion. By utilizing this apparatus, the method can be effectively executed to remove shadows from text images. Additionally, the patent application mentions the application of the method on electronic devices, where a processor and memory work together to implement the shadow elimination process, showcasing the potential practical applications of this innovative technology in various electronic devices.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.