Lossless White Balance for Improved Lossless CFA Image and Video Compression

Yeejin Lee, Keigo Hirakawa

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Color filter array is a spatial multiplexing of pixel-sized filters fabricated over pixel sensors in most color image sensors. The state-of-the-art lossless coding techniques of raw sensor data captured by such sensors leverage spatial or cross-color correlation using lifting schemes. In this paper, we propose a lifting-based lossless white balance algorithm. When applied to the raw sensor data, the spatial bandwidth of the implied chrominance signals decreases. We propose to use this white balance as a pre-processing step to lossless CFA subsampled image/video compression, improving the overall coding efficiency of the raw sensor data.

Original languageEnglish
Pages (from-to)3309-3321
Number of pages13
JournalIEEE Transactions on Image Processing
Volume31
DOIs
StatePublished - 2022

Keywords

  • Color filter array
  • image compression
  • lifting scheme
  • video compression
  • white balance

Fingerprint

Dive into the research topics of 'Lossless White Balance for Improved Lossless CFA Image and Video Compression'. Together they form a unique fingerprint.

Cite this