ODelta Encoding for Bit-Level Compression Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing Delta encoding methods are inefficient for bit-level compression and not optimized for regimes other than 8-bit, 16-bit, or 32-bit values, particularly when encoding '0' and '1' bit values, and lack improved methods for achieving greater data compression.
Innovation Solution
A direct ODelta encoder and decoder that applies ODelta coding to input data, using analysis and pedestal values to generate encoded output, and supports additional encoding methods like run-length, Huffman, and arithmetic coding, optimizing bit representation and compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If known Delta encoding methods are used, then data compression is achieved, but encoding efficiency deteriorates when coding bit values (0 and 1) because three different values result
Solution Approach 1:
The patent applies parameter changes by modifying the Delta encoding approach specifically for bit-level data. Instead of using traditional Delta encoding that produces three values (-1, 0, 1) from bit operations, the invention introduces a direct ODelta operator that changes the parameter representation to maintain only two values (0 and 1), thereby preserving encoding efficiency for binary data while still achieving compression through entropy modification.
2Loss of substance
If traditional entropy compression methods are used, then compression ratios improve, but adaptability to bit-level data deteriorates
Solution Approach 1:
The patent segments the encoding process into two distinct parts: first applying traditional entropy compression methods (like Huffman or arithmetic coding) to achieve compression ratios, then applying the direct ODelta operator specifically to the encoded bit stream to maintain adaptability for bit-level data. This segmentation allows both traditional compression benefits and bit-level adaptability to coexist.
Solution Approach 2:
The direct ODelta operator acts as an intermediary between traditional entropy compression methods and the final encoded output. It processes the intermediate encoded data to ensure bit-level adaptability is maintained, serving as a bridge that preserves the benefits of traditional compression while adapting the output for efficient bit-level representation.
3Loss of substance
If Delta encoding is applied to reduce entropy, then compression efficiency improves, but device complexity increases due to analysis and pedestal value requirements
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing pedestal values that correspond to different data ranges. Instead of performing complex real-time analysis during encoding, the system prepares lookup tables of pedestal values in advance, allowing the direct ODelta operator to quickly determine the appropriate pedestal value based on the input data range, thereby reducing runtime complexity while maintaining compression efficiency.
Data Source
AI summary
There is provided an encoder and decoder for encoding and decoding input data (D1, D2 or D3) to generate corresponding encoded output data (D2 or D3, D5). The encoder includes a data processing arrangement, optionally for analyzing a range of values present in the input data (D1) to determine at least one pre- and/or post-pedestal value, optionally to translate the input data (D1) using the at least one pre- and/or post-pedestal value to generate translated data, and then to apply a form of ODelta coding to the data, optionally translated data, to generate processed data, and to combine the processed data and optionally the at least one pre- and/or post-pedestal value for generating the encoded output data (D2 or D3). The decoder includes a data processing arrangement for processing the encoded data (D2 or D3), optionally to extract therefrom at least one pre- and/or post-pedestal value.