[Image Processing] Automatic detection and repair of scratches from image data *Demo video available
Automatically detects missing areas from damage images and gradually repairs the damage by repeating correction processes!
This is a technical appeal from a company specializing in image processing development. In the scratch correction demo, we first capture an image of Mount Fuji from a camera video on the left side of the screen. Next, we composite a scratch image onto the captured image to generate a damaged image with some data missing. On the left side of the screen, you can see how the system automatically identifies the missing areas from this damaged image and gradually repairs the scratches through repeated correction processes. While the human eye can easily distinguish the missing areas, detecting scratches (missing areas) from image data is quite challenging. Therefore, we focus on the unnatural changes in the missing areas and repeatedly perform corrections to infer from the surrounding pixels, making the image restoration more natural.
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【Features・Keywords】 - Automatic detection - Automatic correction - Scratch correction・restoration
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We provide image processing technology as added value in various fields such as medical devices, automobiles, televisions, games, inspection equipment, office automation equipment, and manufacturing equipment.
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Due to our focus on image processing, we have a wide range of applications, including "medical devices," "image processing for automobiles," "inspection equipment," and "wide dynamic range cameras," among others. We have prepared many implementation methods, so if you specify the image processing functions you would like to add to your products, we will consider the specifications, schedule, and costs, and create a "proposal." For image processing software development, we provide implementation methods using algorithms for "learning," "recognition," "search," "image synthesis," "defect repair," etc., as well as device drivers for PCIe and ARM firmware. In hardware development, we have 27 years of experience with image processing boards using SoC FPGAs from Intel (Altera) and AMD (Xilinx), as well as FFT, labeling IP, image transformation, and more.
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