Still Image Predictive Coding Using Similar Image Search
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image coding methods, such as JPEG and JPEG 2000, have lower compression efficiency compared to inter prediction coding methods like MPEG-2 and H.264, and struggle with generating natural completed images when filling removed parts with complex shapes or non-existent images, while super resolution image processing requires pre-existing high-resolution images and transformation tables.
Innovation Solution
An image coding apparatus that searches for similar still images to generate predictive images and codes the difference, adding location information to the bit stream, and includes a transformation unit to match image size and angle, enabling efficient compression and natural image completion without pre-existing high-resolution images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If intra coding method is used for still image compression, then image quality is preserved, but compression efficiency is low
Solution Approach 1:
The patent uses image completion technology to copy pixel information from existing regions of the image to fill removed regions. By removing redundant parts of the image and completing them through copying from similar areas, the system achieves both high compression ratios and maintained image quality, resolving the contradiction between compression efficiency and image quality preservation.
2Ease of operation
If conventional image completion method is used, then simple removed parts can be filled naturally, but complex shaped removed parts result in unnatural completion
Solution Approach 1:
The patent employs dynamic programming to optimally select and combine multiple candidate completion sources for each removed region. This dynamic approach allows the system to adapt to complex shapes and varying image content, selecting the most appropriate completion strategy for each specific case, thereby achieving natural completion results for both simple and complex removed parts.
Solution Approach 2:
The patent replaces conventional mechanical image completion methods with a combination of image completion technology and dynamic programming. This substitution enables the system to handle complex shaped removed parts by using intelligent algorithms to select and combine completion sources, rather than relying on simple copying or interpolation methods.
3Manufacturing precision
If super resolution image processing is performed without pre-existing high resolution images, then high resolution output is needed, but conventional methods require example high resolution images and transformation tables
Solution Approach 1:
The patent performs image completion and removal of redundant parts before the compression coding process. By completing the image structure in advance using dynamic programming and image completion technology, the system prepares the image data in a form that enables efficient compression without requiring pre-existing high-resolution example images or transformation tables, thus reducing device complexity while maintaining resolution accuracy.
Data Source
AI summary
The image coding apparatus according to the present invention includes: a similar image search unit 201 which searches at least one second still image which is similar to a first still image; a coding processing unit 202 which generates a predictive image for the first still image using the at least one second still image as the reference image, and codes the difference between the first still image and the predictive image; and a reference image information processing unit 204 which adds information which indicates the location of at least one of the second still image to the bit stream.