{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854138","patent":{"patent_number":"US-9854138","title":"Fixed pattern noise reduction","assignee":null,"inventors":[],"filing_date":"2012-09-20T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","H04N","H04N"],"num_claims":21,"abstract":"A method, including receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array. The method also includes analyzing the signals along a row or a column to identify one or more local turning points, and processing the signals at the identified local turning points to recognize fixed pattern noise in the captured image. The method further includes correcting values of the signals from the sensor elements at the identified local turning points so as to reduce the fixed pattern noise in the image."},"analysis":{"summary":"Fixed Pattern Noise Reduction addresses the problem of fixed pattern noise in images captured by sensor arrays. The core innovation lies in a method for analyzing signals from a rectangular array of sensor elements, identifying local turning points along rows or columns, and processing these signals to recognize and correct FPN. This technology improves image quality by reducing noise, leading to more accurate and reliable results. The business value of this approach is significant, as it enhances the performance of imaging systems in various applications, including medical imaging, surveillance, and consumer electronics. The market opportunity is substantial, with potential for increased revenue and competitive advantage for companies that adopt this technology. This system offers significant commercial value.\n\nThe key technical approach involves analyzing signals from the sensor array to identify local turning points, which are then processed to recognize and correct FPN. This method is computationally efficient and can be implemented in real-time, making it suitable for high-speed imaging systems. The innovation lies in its ability to adaptively identify and correct noise patterns, leading to improved image quality and accuracy. The approach can significantly improve image quality.\n\nThis technology has the potential to transform various industries by improving the quality and reliability of imaging systems. For example, in medical imaging, it can lead to more accurate diagnoses and reduced healthcare costs. In surveillance systems, it can enhance the detection and identification of objects, improving security. In consumer electronics, it can result in sharper and more vibrant images, enhancing the user experience. With its innovative approach and broad applicability, Fixed Pattern Noise Reduction is poised to revolutionize the way images are captured and processed. The system offers significant improvements.","layman_explanation":"Fixed Pattern Noise Reduction addresses a common problem in digital imaging: fixed pattern noise (FPN). This type of noise appears as consistent, unwanted patterns in images, often caused by imperfections or variations in the individual sensors within a camera or imaging device. Think of it like a slightly smudged lens that always leaves the same mark on every photo.\n\n**1. What Problem Does This Solve?**\nFPN can significantly degrade image quality, making it difficult to discern fine details and leading to inaccurate data interpretation. Existing solutions often fall short because they either fail to completely eliminate the noise or introduce other artifacts in the process. This is especially critical in fields like medical imaging, where precise and clear images are essential for accurate diagnoses.\n\n**2. How Does It Work?**\nImagine a grid of tiny sensors capturing light to create an image. This innovation works by analyzing the signals coming from each row or column of sensors. It looks for \"turning points,\" where the signal changes direction, indicating a potential source of FPN. By processing the signals at these specific points, the system can identify and correct the noise patterns without needing to analyze the entire image. It's like focusing on the specific areas where the smudges appear, rather than trying to clean the whole lens.\n\n**3. Why Does This Matter?**\nThis technology has the potential to improve image quality in a wide range of applications. For example, in surveillance systems, clearer images can lead to better object recognition and enhanced security. In consumer electronics, it can result in sharper and more vibrant photos and videos. The competitive advantage lies in its ability to adapt to different types of sensors and noise patterns, making it a versatile solution for various imaging devices. This also translates to potential ROI through licensing and improved product performance.\n\n**4. What's Next?**\nFuture applications could include integration with AI-powered image processing systems for even more advanced noise reduction. Market adoption is likely to increase as imaging technology continues to evolve and the demand for higher-quality images grows. This innovation has investment implications for companies seeking to improve their imaging capabilities and gain a competitive edge.","technical_analysis":"Fixed Pattern Noise Reduction provides a novel approach to mitigating the effects of fixed pattern noise in images captured by sensor arrays. The technical architecture involves analyzing signals from a rectangular array of sensor elements to identify local turning points, which are then processed to recognize and correct FPN. This innovation lies in its ability to adaptively identify and correct noise patterns, leading to improved image quality and accuracy. The implementation details involve several key steps: pre-processing the signals to remove common-mode noise, analyzing the signals along rows or columns to identify local turning points, and processing these turning points using a sophisticated algorithm to recognize and correct FPN.\n\nThe algorithm takes into account the spatial correlation of the noise pattern, allowing for accurate noise reduction even in the presence of complex noise structures. The integration patterns involve incorporating this technology into existing image processing pipelines, which can be achieved through software or hardware implementations. The performance characteristics of this system are highly dependent on the specific sensor array and noise patterns, but in general, it offers significant improvements in image quality with minimal computational overhead. The code-level implications involve developing efficient algorithms for identifying and correcting FPN, which can be implemented using various programming languages and hardware platforms. The technology can be easily integrated into image processing systems. \n\nThis approach has significant implications for various applications, including digital photography, surveillance systems, and scientific imaging. By improving image quality and accuracy, it can enable more reliable data analysis and decision-making in these fields. Furthermore, the technology is computationally efficient and can be implemented in real-time, making it suitable for high-speed imaging systems. The innovation provides improved image quality.","business_analysis":"Fixed Pattern Noise Reduction presents a significant market opportunity in the image sensor technology industry. The problem of fixed pattern noise is a persistent challenge in digital imaging, and this innovation offers a novel and effective solution. The market opportunity size is substantial, with potential for increased revenue and competitive advantage for companies that adopt this technology. The competitive advantages of this approach include improved image quality, reduced computational complexity, and adaptability to different sensor arrays. The revenue potential is significant, with potential for licensing fees, product sales, and service contracts.\n\nThe business models for this technology include licensing the patent to image sensor manufacturers, integrating the technology into imaging systems, and offering consulting services to companies that want to implement this approach. The strategic positioning of this system is strong, as it addresses a key challenge in the image sensor industry and offers a superior solution compared to existing technologies. The ROI projections are favorable, with potential for significant returns on investment due to increased revenue and reduced costs. The system offers a strong business value.\n\nThis technology has the potential to disrupt the image sensor technology industry by providing a more effective and efficient solution for reducing fixed pattern noise. This can lead to increased market share and competitive advantage for companies that adopt this technology. Furthermore, it can enable new applications and business models, such as high-resolution medical imaging and advanced surveillance systems. The innovation offers significant business opportunities.","faqs":null,"topics":["fixed pattern noise","image noise reduction","sensor array","image processing","patent","fixed","pattern","noise"],"tech_cluster":null},"seo":{"title":"Fixed Pattern Noise Reduction - Patent US-9854138","description":"Discover Fixed Pattern Noise Reduction: A revolutionary patent for eliminating image noise. Full analysis, claims, and tech details available.","keywords":["fixed pattern noise","image noise reduction","sensor array","image processing","patent","patent US-9854138","noise correction","image enhancement"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854138","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854138","citation_suggestion":"Patentable. \"Fixed pattern noise reduction\" (US-9854138). https://patentable.app/patents/US-9854138","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854138","json":"https://patentable.app/api/llm-context/US-9854138","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T11:40:42.822Z"}