Image Processing Apparatus Distortion Correction Encoding
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Solution Overview
Problem
Existing image processing technologies face challenges in setting areas with different image quality in omnidirectional camera images, as geometric conversion processing distorts these areas, making it difficult to set high-quality image regions based on macroblock units for encoding.
Innovation Solution
An image processing apparatus that obtains a first image, cuts out a portion to generate a distortion-corrected second image, and sets areas with different image quality based on processing units, allowing for accurate designation and encoding of high-quality areas in the second image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If geometric conversion processing is performed on a cut image to remove distortion, then image quality is improved, but the shape of designated areas becomes distorted and does not align with macroblock units
Solution Approach 1:
The patent performs geometric conversion processing on the entire image before cutting out the designated area, rather than after. This preliminary action ensures that the distortion correction is applied to the full image context, and then the area of interest is extracted in its corrected form, maintaining both image quality and proper alignment with macroblock units for encoding.
2Manufacturing precision
If the quantization step width is made smaller to increase image quality, then image quality is improved, but the amount of code increases
Solution Approach 1:
The patent applies different quantization step widths to different areas of the image. Specifically, it uses a smaller quantization step width (higher quality) for the designated area of interest and a larger quantization step width (lower quality) for other areas. This local quality approach maintains high image quality where needed while reducing overall code amount.
3Measurement precision
If an area is designated in a fish-eye image before cutting, then the intended area can be identified, but the area becomes distorted after geometric conversion processing
Solution Approach 1:
The patent performs geometric conversion processing on the entire fish-eye image before cutting out the designated area. This ensures that the distortion correction is applied to the full image context, and then the area of interest is extracted in its corrected form, maintaining both area designation accuracy and proper shape alignment with macroblock units.
Data Source
AI summary
An image processing apparatus obtains a first image, cuts out at least a portion of the first image to generate a second image that is distortion-corrected, receives designation of a first area in which image quality is to be different in the first image, calculates a second area in the second image, the second area corresponding to the first area designated in the first image, and sets, as an area associated with a function that influences encoding processing for encoding the second image, an area that includes the second area and is based on a processing unit of the encoding processing for encoding the second image, the processing unit being an area in the second image.