DPAC Hologram Compression via Phase-Only Transformation and Checkerboard Pixel Rearrangement

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Solution Overview

Problem

Standardized image/video compression techniques, such as JPEG/MPEG, degrade the quality of double phase-amplitude coding (DPAC) holograms by reducing high frequency components, leading to quality loss and restricted commercial application.

Innovation Solution

A hologram compression method that transforms a DPAC hologram represented by a complex number into a hologram represented only by phase, rearranges pixels in a checkerboard pattern to reduce high frequency components, and compresses the rearranged hologram according to JPEG or MPEG standards.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If standardized JPEG/MPEG compression is applied to DPAC holograms, then compression performance is improved, but hologram quality is degraded due to high frequency component reduction

Engineering Contradiction:
Improvecompression performanceVSAvoidhologram quality
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The patent applies preliminary action by transforming the DPAC hologram into a phase-only representation and rearranging pixels into a checkerboard pattern before compression. This pre-processing step converts high frequency components into low frequency components, preparing the hologram data in advance to be compatible with standardized compression algorithms, thereby preventing quality degradation during compression.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter representation by converting from complex number representation to phase-only representation, and by altering the spatial arrangement of pixels through checkerboard pattern reconfiguration. These parameter changes enable the hologram to be processed by standardized compression techniques while maintaining quality, as the transformed data has reduced high frequency content that conflicts with compression algorithms.

Inventive Principle:
Principle #35Parameter changes

2Loss of energy

If DPAC holograms are compressed using standard image compression techniques, then compression is achieved, but high frequency components are reduced leading to quality loss

Engineering Contradiction:
Improvecompression efficiencyVSAvoidhigh frequency information
Core Design Contradiction:
Loss of energyVSLoss of information

Solution Approach 1:

The patent performs preliminary transformation of the hologram data into phase-only representation with checkerboard pixel arrangement before compression. This pre-processing action reconfigures the data structure to convert high frequency information into low frequency forms, allowing standard compression to efficiently reduce data size without losing critical high frequency hologram information.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent converts the harmful effect of high frequency components (which cause quality degradation in standard compression) into a benefit by transforming them into low frequency components through phase transformation and pixel rearrangement. This allows the compression algorithm to effectively process the data while preserving the essential high frequency hologram information that would otherwise be lost.

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

3Manufacturing precision

If deep learning compression methods are used for DPAC holograms, then compression performance is improved, but computational time increases and real-time processing is restricted

Engineering Contradiction:
Improvecompression performanceVSAvoidcomputational time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent uses a simple, computationally inexpensive pixel rearrangement operation (checkerboard pattern transformation) instead of complex deep learning models. This lightweight approach achieves good compression performance for DPAC holograms without requiring the heavy computational resources and long processing times associated with neural network-based methods, making real-time processing feasible.

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS20250193442A1Pixel transform method for JPEG/MPEG compression of double phase-amplitude coded holograms
Publication Date: 2025.06.12 KOREA ELECTRONICS TECH INST
  • US20250193442A1 patent drawing
  • US20250193442A1 patent drawing
  • US20250193442A1 patent drawing

AI summary

There is provided a pixel transform method for JPEG/MPEG compression of double phase-amplitude coded holograms. According to an embodiment, a hologram compression method transforms a hologram represented by a complex number into a hologram represented only by a phase, rearranges pixels of the transformed hologram, and compresses the rearranged hologram. Pixels of a DPAC hologram are rearranged before the DPAC hologram is compressed in a standardized image/video compression technique, so that a high frequency component is prevented from occurring when a hologram is compressed. Accordingly, hologram quality degradation occurring when a DPAC hologram is used in a standardized image/video compression technique can be prevented.