Ho Sang Lee

Efficient Color Correction Using Normalized Singular Value

for Duststorm Image Enhancement

• Broschiertes Buch

Produktbeschreibung

A duststorm image has a reddish or yellowish color cast. Though a duststorm image and a hazy image are obtained using the same pro-cess, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distortion owing to an imbalance in the color channel, which is disturbed by sand particles. As a result, a duststorm image has a degraded color channel, which is rare in certain channels. Therefore, a color balance step is needed to enhance a duststorm image naturally. This study goes through two steps to im-prove a duststorm image. In general, the dark channel prior (DCP) is frequently applied in the dehazing step. However, the existing DCP method has a halo effect similar to an over-enhanced image due to a dark channel and a patch image. According to this point, this study proposes to adjustable DCP (ADCP). In the experiment results, the proposed method was superior to state-of-the-art methods both subjectively and objectively.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 64
• Erscheinungstermin: 31. Januar 2023
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 113g
• ISBN-13: 9786205513309
• ISBN-10: 6205513307
• Artikelnr.: 67503899

Autorenporträt

The author got undergraduate degree, in Kyungsung university, Busan, Korea. The master degree got, in Pusan national university, Busan, Korea. The Ph.D degree, in Pusan national university, Busan, Korea. The working area of author is the image understanding, image enhancement, image recognition, machine learning, and autonomous driving system.