# Fully pipelined and hardware efficient architecture to improve peak signal to noise ratio for real-time demosaicking

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fully-pipelined-and-hardware-efficient-architecture-to-improve-peak-signal-to/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Samarth Goyal,Jigar Kumar Mori,Keisham Pritamdas,Mohammad Ismaeil,Ratishchandra Huidrom |
| Citations | 0 |
| DOI | 10.1109/rteict.2017.8256690 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2782700342 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Keisham Pritamdas](https://scholariq.org/researchers/keisham-pritamdas/)

## Paper primary topic

- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)

## Paper topics

- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)
- [Advanced Image Fusion Techniques](https://scholariq.org/topics/advanced-image-fusion-techniques/)
- [Advanced Data Compression Techniques](https://scholariq.org/topics/advanced-data-compression-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.