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CBSD68-dataset
The CBSD68 dataset is a color version of the BSD68 benchmark for image denoising, containing original .jpg files converted to lossless .png format and augmented with different levels of Gaussian white noise.
Source
github
Created
Jul 26, 2018
Updated
May 23, 2024
Signals
576 views
Availability
Linked source ready
Overview
Dataset description and usage context
CBSD68‑dataset Overview
Dataset Description
- Name: CBSD68‑dataset
- Purpose: Image denoising benchmark
- Contents: Original
.jpgfiles converted to lossless.pngformat, with added Gaussian white noise at various levels
Source
- Affiliation: Part of The Berkeley Segmentation Dataset and Benchmark
- Link: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/
Authors
- Authors: D. Martin, C. Fowlkes, D. Tal, J. Malik
- Paper Title: A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics
- Publication:
- Conference: Proc. 8th Intl Conf. Computer Vision
- Year: 2001
- Month: July
- Volume: 2
- Pages: 416–423
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