Digital Image Signal Processing Apparatus Scene-Based Storage Optimization
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Solution Overview
Problem
Digital image processing devices face challenges in efficiently managing limited memory capacity, leading to issues when storing additional images due to insufficient storage space, as users cannot continuously monitor memory capacity and delete images.
Innovation Solution
A digital image signal processing method that recognizes scenes and adjusts image resolution and quality based on determined priorities, allowing for efficient compression and storage by calculating the available number of images that can be stored, and displaying this information to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If images are stored at high resolution and quality, then image quality is improved, but memory capacity is consumed faster
Solution Approach 1:
The patent applies local quality by assigning different resolutions and compression rates to different images based on their specific characteristics. Scene-based classification identifies key images (portraits, landscapes, etc.) that receive higher quality settings, while other images use lower quality settings. This allows the system to optimize overall storage efficiency while preserving quality for the most important images.
Solution Approach 2:
The patent changes parameters (resolution, compression rate, image quality) dynamically based on scene classification and memory capacity. The processing unit adjusts these parameters automatically according to the recognized scene type and current storage conditions, enabling flexible optimization of both image quality and storage utilization without manual intervention.
2Quantity of substance
If memory capacity is increased, then more images can be stored, but device cost and size increase
Solution Approach 1:
Instead of increasing hardware storage capacity, the patent changes the software parameters of image compression and resolution. By dynamically adjusting compression rates and resolutions based on scene type and available storage, the system effectively increases usable storage capacity without adding physical memory, thereby avoiding increased device cost and complexity.
3Quantity of substance
If user manually monitors and deletes images, then storage space is managed, but user convenience decreases
Solution Approach 1:
The patent implements self-service by enabling the processing unit to automatically manage image storage without user intervention. The system autonomously classifies images by scene, determines optimal quality settings, and manages storage capacity automatically. This eliminates the need for users to manually monitor and delete images, significantly improving convenience while maintaining effective storage management.
Solution Approach 2:
The system incorporates feedback mechanisms where the processing unit continuously monitors memory capacity and automatically adjusts image quality parameters in response to storage conditions. This closed-loop control allows the system to adapt to changing storage availability and maintain optimal operation without requiring user input or awareness of storage status.
Data Source
AI summary
Provided is a digital image signal processing method, a recording medium for recording the method, and a digital image signal processing apparatus, in which a storage area of a memory may be efficiently used and an image desired by a user can be stored even when the storage area of the memory is insufficient. According to the present invention, a scene of an image may be recognized and a resolution and an image quality may be modified according to the recognized scene, thereby efficiently using the storage area of the memory.