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Benchmarking Single-Image Dehazing and Beyond

Published: 01 January 2019 Publication History

Abstract

We present a comprehensive study and evaluation of existing single-image dehazing algorithms, using a new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single-Image DEhazing (RESIDE). RESIDE highlights diverse data sources and image contents, and is divided into five subsets, each serving different training or evaluation purposes. We further provide a rich variety of criteria for dehazing algorithm evaluation, ranging from full-reference metrics to no-reference metrics and to subjective evaluation, and the novel task-driven evaluation. Experiments on RESIDE shed light on the comparisons and limitations of the state-of-the-art dehazing algorithms, and suggest promising future directions.

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      cover image IEEE Transactions on Image Processing
      IEEE Transactions on Image Processing  Volume 28, Issue 1
      Jan. 2019
      523 pages

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      IEEE Press

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      Published: 01 January 2019

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