18464433. LINE-BASED COMPRESSION FOR DIGITAL IMAGE DATA simplified abstract (Texas Instruments Incorporated)

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LINE-BASED COMPRESSION FOR DIGITAL IMAGE DATA

Organization Name

Texas Instruments Incorporated

Inventor(s)

Ying Chen of West Lafayette IN (US)

Madhukar Budagavi of Plano TX (US)

Minhua Zhou of San Diego CA (US)

LINE-BASED COMPRESSION FOR DIGITAL IMAGE DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 18464433 titled 'LINE-BASED COMPRESSION FOR DIGITAL IMAGE DATA

Simplified Explanation

The abstract describes a method for compressing digital image data using variable length entropy codes and spatial prediction. The method involves selecting an entropy code from a set of codes, using spatial prediction to calculate a pixel predictor and residual for each pixel in a line of pixels, and encoding the pixel residual using either the selected entropy code or run mode encoding.

  • Method for compressing digital image data using variable length entropy codes and spatial prediction
  • Selecting an entropy code from a set of codes
  • Using spatial prediction to compute a pixel predictor and residual for each pixel in a line of pixels
  • Encoding the pixel residual using either the selected entropy code or run mode encoding

Potential Applications

  • Image compression for storage or transmission purposes
  • Efficient encoding of digital images in various applications such as multimedia, telecommunications, and computer vision

Problems Solved

  • Reducing the size of digital image data for efficient storage and transmission
  • Improving the compression ratio without significant loss of image quality
  • Enhancing the speed and efficiency of image encoding and decoding processes

Benefits

  • Higher compression ratios leading to reduced storage requirements and faster transmission
  • Improved image quality preservation during compression and decompression
  • Faster encoding and decoding processes for digital images


Original Abstract Submitted

A method of compressing digital image data is provided that includes selecting an entropy code for encoding a line of pixels in the digital image data, wherein the entropy code is selected from a plurality of variable length entropy codes, using spatial prediction to compute a pixel predictor and a pixel residual for a pixel in the line of pixels, and selectively encoding the pixel residual using one of the entropy code or run mode encoding.