When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the
captured photographs, affecting the photographs' visual quality. The main challenge in flare …

Abstract Camouflaged Object Detection (COD) remains a challenging task in computer
vision due to the difficulty of distinguishing highly similar targets from complex backgrounds …

Lighting normalization is a crucial but underexplored restoration task with broad
applications. However, existing works often simplify this task within the context of shadow …

Current low-light image enhancement (LLIE) techniques truly enhance luminance but have
limited exploration on another harmful factor of nighttime visibility, the glow effects with …

The recovery of high-quality images from images corrupted by lens flare presents a
significant challenge in low-level vision. Contemporary deep learning methods frequently …

When capturing images under strong light sources at night, intense lens flare artifacts often
appear, significantly degrading visual quality and impacting downstream computer vision …

Scene text erasing (STE) aims to remove the text regions and inpaint those regions with
reasonable content in the image. It involves a potential task, ie, scene text segmentation, in …

Image restoration from regional degradation has long been an important and challenging
task. The key to contamination removal is recovering the contents of the corrupted regions …

When capturing scenes with intense light sources, extensive flare artifacts often obscure the
background and degrade image quality. Most flare removal methods directly process the …

Lens flares arise from light reflection and refraction within sensor arrays, whose diverse
types include glow, veiling glare, reflective flare and so on. Existing methods are specialized …