10-Bit Data Decompression Using Split Bit-Subset Schemes

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing data compression and decompression technologies struggle to efficiently handle 10-bit data values, as specialized hardware for 8-bit data compression and decompression units are not suitable, and adding units for 10-bit data would significantly increase silicon area, while maintaining high image quality during compression and decompression is desirable.

Innovation Solution

A method and unit for decompressing 10-bit data values by splitting them into a first subset representing the n−2 most significant bits and a second subset representing the two least significant bits, using different decompression schemes for each subset, allowing concurrent or serial decompression to maintain high image quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If specialized hardware units for 10-bit data compression and decompression are added, then the capability to handle 10-bit data values is improved, but the silicon area is significantly increased

Engineering Contradiction:

Improvecapability to handle 10-bit dataVSAvoidsilicon area

Core Design Contradiction:

Adaptability or versatilityVSArea of stationary object

Solution Approach 1:

The 10-bit data value is divided into two separate subsets: a first subset representing the n-2 most significant bits and a second subset representing the two least significant bits. This segmentation allows existing 8-bit decompression hardware to be reused for the first subset, while only adding minimal hardware for the second subset, thereby resolving the contradiction between handling 10-bit data capability and silicon area consumption.

Inventive Principle:

Principle #1Segmentation

2Area of stationary object

If 8-bit decompression units are used for 10-bit data, then the silicon area is minimized, but the accuracy of representing 10-bit data values is degraded

Engineering Contradiction:

Improvesilicon areaVSAvoidaccuracy of 10-bit data representation

Core Design Contradiction:

Area of stationary objectVSMeasurement precision

Solution Approach 1:

By segmenting the 10-bit data into most significant bits (handled by existing 8-bit hardware) and least significant bits (handled by dedicated simple logic), the patent preserves full 10-bit accuracy while minimizing silicon area. The segmentation enables precise representation of all 10-bit values without loss of information.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Different decompression schemes are applied to different parts of the data: the first subset (most significant bits) uses the existing 8-bit decompression scheme, while the second subset (least significant bits) uses a specialized simple logic scheme. This local differentiation optimizes both area and precision for each part's specific requirements.

Inventive Principle:

Principle #3Local quality

3Manufacturing precision

If different decompression schemes are used for different bit subsets, then the image quality is improved, but the device complexity is increased

Engineering Contradiction:

Improveimage qualityVSAvoiddecompression unit complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The decompression process is segmented into two independent paths: one for most significant bits using existing 8-bit hardware, and another for least significant bits using simple dedicated logic. This segmentation improves image quality by preserving full precision while keeping the overall device complexity manageable through reuse of existing components.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The existing 8-bit decompression hardware is made universal by applying it to the first subset of 10-bit data. This multi-functionality approach allows the same hardware to handle both 8-bit and 10-bit data scenarios, reducing overall device complexity while maintaining high image quality through the addition of minimal specialized logic for the second subset.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12567176B2Data compression and decompression

Publication Date: 2026.03.03 IMAGINATION TECH LTD

AI summary

A computer-implemented method for decompressing compressed data, the compressed data representing an n-bit decompressed data value, the compressed data comprising a first compressed subset of bits and a second compressed subset of bits, the first compressed subset representing the n−2 most significant bits of the decompressed data value and the second compressed subset representing the two least significant bits of the decompressed data value, the method comprising performing decompression of the first compressed subset using a first decompression module to determine the n−2 most significant bits of the decompressed data value; performing decompression of the second compressed subset using a second decompression module to determine the two least significant bits of the decompressed data value, the first and second decompression modules implementing different decompression schemes; and combining the determined n−2 most significant bits of the decompressed data value and the determined two least significant bits of the decompressed data value to determine the n-bit decompressed data value.