ImagePairs: Realistic Super Resolution Dataset via Beam Splitter Camera Rig

Joze, Hamid Reza Vaezi; Zharkov, Ilya; Powell, Karlton D.; Ringler, Carl; Liang, Luming; Roulston, Andy; Lutz, Moshe; Pradeep, Vivek

doi:10.1109/cvprw50498.2020.00267

Cited by 25 publications

(23 citation statements)

References 53 publications

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“…The TextZoom dataset was created by Wang et al [18] using RealSR [14], and SR-RAW [16] is the first real scene text SR dataset. The text images in this collection were cut from RealSR [14] and SR-RAW [16] photos, which included stores, automobiles, gardens, and building interiors.…”

Section: 6) Textzoom [18]mentioning

confidence: 99%

“…The text images in this collection were cut from RealSR [14] and SR-RAW [16] photos, which included stores, automobiles, gardens, and building interiors. TextZoom [18] is divided into three difficulty levels: easy, medium, and severe. TextZoom [18] may be used to examine text image SR as well as text recognition.…”

Section: 6) Textzoom [18]mentioning

confidence: 99%

“…TextZoom [18] is divided into three difficulty levels: easy, medium, and severe. TextZoom [18] may be used to examine text image SR as well as text recognition.…”

Section: 6) Textzoom [18]mentioning

confidence: 99%

“…: ImagePairs [18] was suggested by Joze et al [18], which comprises 11421 LR-HR image pairs (LRHRIP) of various scenes acquired by a 5 mega pixel camera (LR) and a 20.1 mega pixel HR camera.…”

Section: 8) Imagepairs [18]mentioning

confidence: 99%

“…To capture same scene images simultaneously with two different cameras a beam splitter cube is used. But due to differences in focal length Joze et al [26] proposed pixel based aligned LRHRIP with following 4 steps i.…”

Section: 8) Imagepairs [18]mentioning

confidence: 99%

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A Review on Self Learning based Methods for Real World Single Image Super Resolution

Gaikwad¹

2021

New Frontiers in Communication and Intelligent Systems

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One of the active research issues in image processing is super resolution, which is used to boost picture resolution. The super resolution of a single image is obtained by rebuilding high-resolution (HR) pictures from low-resolution (LR) damaged pho tos (RSISR). This research examines publicly accessible datasets, RSISR assessment measures, and self-learning RSISR techniques. Comparisons are made in terms of reconstruction quality and computing efficiency utilising the self-learning RSISR technique and datasets.

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Section: 6) Textzoom [18]mentioning

confidence: 99%

Section: 6) Textzoom [18]mentioning

confidence: 99%

“…TextZoom [18] is divided into three difficulty levels: easy, medium, and severe. TextZoom [18] may be used to examine text image SR as well as text recognition.…”

Section: 6) Textzoom [18]mentioning

confidence: 99%

Section: 8) Imagepairs [18]mentioning

confidence: 99%

Section: 8) Imagepairs [18]mentioning

confidence: 99%

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