Upscaled Image Identification via Texture and Energy Analysis
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Solution Overview
Problem
High-definition images upscaled to ultra-high definition may introduce severe artifacts, negatively impacting the viewing experience due to differences in image features, necessitating proper image processing to enhance quality.
Innovation Solution
An electronic device with a processor that performs noise removal processing and identifies whether an input image is upscaled by obtaining information on texture blocks and energy amounts, allowing for tailored image processing to improve quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If upscaling methods (interpolation filter, up-converting) are applied to convert low-resolution images to high-resolution, then image resolution is improved, but image quality deteriorates due to severe artifacts
Solution Approach 1:
The patent applies noise removal processing before analyzing texture blocks and energy amounts. This preliminary action prepares the upscaled image by reducing artifacts early in the processing pipeline, enabling subsequent steps to work with cleaner data and achieve better overall image quality
Solution Approach 2:
The patent changes processing parameters based on image identification results. After identifying whether an image is upscaled through texture block and energy analysis, the system adjusts processing parameters accordingly, applying different processing strengths or methods to optimize quality while minimizing artifact-related harmful effects
2Object-affected harmful factors
If noise removal processing is performed on upscaled images, then image quality is improved, but processing complexity increases due to the need to identify and handle different image types
Solution Approach 1:
The patent segments the image processing task into distinct stages: noise removal, texture block analysis, energy amount calculation, and identification. By dividing the complex processing into modular segments, the system manages complexity while achieving comprehensive image quality improvement
Solution Approach 2:
The patent uses parameter changes as identification criteria. By analyzing specific parameters (texture block characteristics, energy amounts) that differ between upscaled and original images, the system achieves accurate identification without requiring overly complex processing, balancing complexity with effectiveness
Data Source
AI summary
An electronic device is provided. The electronic device includes an input interface and a processor that performs noise removal processing on an image input through the input interface, obtains first information on a first texture block among a plurality of first pixel blocks included in the input image, obtains second information on a second texture block among a plurality of second pixel blocks included in the noise-removed image, obtains third information on maximum energy amount among energy amount of each of the plurality of second pixel blocks, and identifies whether the input image is an upscaled image based on the first, second and third information.