Image Compression Unit Selective Line Group Decompression
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Solution Overview
Problem
Current CMOS image sensors in mobile devices face challenges in operational speed due to limitations in read-out speed of digital signals from line memory, necessitating a method to enhance processing efficiency.
Innovation Solution
An image processing apparatus and method that allows random access to compressed data, decompressing only specific parts of the data corresponding to user input by classifying image signals into line groups, compressing some lines while maintaining others in their original state, and storing and displaying partial data efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If all compressed data is decompressed for display, then complete image quality is maintained, but processing time and energy consumption increase
Solution Approach 1:
The image data is divided into multiple blocks, where some blocks are compressed and stored while others are kept in original form. This segmentation allows selective processing where only necessary blocks are decompressed for display, reducing overall processing time while maintaining image quality in visible regions.
Solution Approach 2:
Different regions of the image are treated differently based on their importance. Critical regions are maintained in original quality without compression, while less critical regions are compressed. This local quality approach ensures that time-sensitive display areas maintain high quality while reducing overall processing burden.
2Quantity of substance
If compression is applied to all line groups, then data storage efficiency improves, but random access and selective decompression capability deteriorates
Solution Approach 1:
The image frame is divided into multiple line groups that can be independently compressed or kept uncompressed. This segmentation enables random access to specific line groups without requiring decompression of the entire image, improving both storage efficiency and access flexibility.
Solution Approach 2:
The compression state of different line groups can be dynamically adjusted based on access patterns and display requirements. Frequently accessed regions can be kept uncompressed for fast access, while less frequently accessed regions are compressed to maximize storage efficiency.
3Speed
If read-out speed of digital signal is increased, then operational speed of CMOS image sensor improves, but data loss and image quality degradation occur
Solution Approach 1:
Certain line groups are pre-prepared in uncompressed form and stored in accessible memory locations. When fast access is required, these pre-prepared regions can be immediately retrieved without decompression, enabling high-speed operation while preventing data loss in critical regions.
Data Source
AI summary
An image processing apparatus including a memory, a data bus provided to access the memory, an image conversion unit which receives an image signal and converts the image signal into a frame comprising a plurality of lines, and an image compression/decompression unit which divides the frame into a plurality of line groups, compresses each of the plurality of line groups to generate compressed data, and stores the compressed data in the memory via the data bus, where at least one line in at least one line group is omitted from the compression.